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D 50
Dey, Sandipan,.
Hands-on image processing with Python : : expert techniques for advanced image analysis and effective interpretation of image data / / Sandipan Dey. - Birmingham, UK : : Packt Publishing,, 2018. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/2FF76B16-D4FA-4529-AC43-E0EF2151446D. - ISBN 178934185X. - ISBN 9781789341850 (electronic bk.)
Description based on online resource; title from title page (Safari, viewed February 1, 2019).
Параллельные издания: Print version: :
~РУБ DDC 621.367
Рубрики: Image processing.
Python (Computer program language)
Computer vision.
Machine learning.
Computer vision.
Image processing.
Machine learning.
Python (Computer program language)
TECHNOLOGY & ENGINEERING / Mechanical.
D 50
Dey, Sandipan,.
Hands-on image processing with Python : : expert techniques for advanced image analysis and effective interpretation of image data / / Sandipan Dey. - Birmingham, UK : : Packt Publishing,, 2018. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/2FF76B16-D4FA-4529-AC43-E0EF2151446D. - ISBN 178934185X. - ISBN 9781789341850 (electronic bk.)
Description based on online resource; title from title page (Safari, viewed February 1, 2019).
Параллельные издания: Print version: :
Рубрики: Image processing.
Python (Computer program language)
Computer vision.
Machine learning.
Computer vision.
Image processing.
Machine learning.
Python (Computer program language)
TECHNOLOGY & ENGINEERING / Mechanical.
2.
Подробнее
E 76
Escrivá, David Millán.
OpenCV 4 Computer Vision Application Programming Cookbook. / David Millán. Escrivá, Laganiere, Robert. - [Place of publication not identified] : : 2019., Б. г. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/ECC59F6B-C7B1-4F67-AEAE-0D664374BCE9. - ISBN 9781789345285 (electronic bk.). - ISBN 1789345286 (electronic bk.)
Vendor-supplied metadata.
Параллельные издания: Print version: : Millán Escrivá, David. OpenCV 4 Computer Vision Application Programming Cookbook : Build Complex Computer Vision Applications with OpenCV and C++, 4th Edition. - Birmingham : Packt Publishing, Limited, ©2019. - ISBN 9781789340723
Содержание:
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Playing with Images; Installing the OpenCV library; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using Qt for OpenCV developments; The OpenCV developer site; See also; Loading, displaying, and saving images; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Clicking on images; Drawing on images; Running the example with Qt; See also; Exploring the cv::Mat data structure; How to do it ... ; How it works ... ; There's more ... ; The input and output arrays
See alsoDefining regions of interest; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using image masks; See also; Chapter 2: Manipulating the Pixels; Accessing pixel values; Getting ready; How to do it ... ; How it works ... ; There's more ... ; The cv::Mat_ template class; See also; Scanning an image with pointers; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Other color reduction formulas; Having input and output arguments; Efficient scanning of continuous images; Low-level pointer arithmetics; See also; Scanning an image with iterators; Getting ready
How to do it ... How it works ... ; There's more ... ; See also; Writing efficient image-scanning loops; How to do it ... ; How it works ... ; There's more ... ; See also; Scanning an image with neighbor access; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Performing simple image arithmetic; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Overloaded image operators; Splitting the image channels; Remapping an image; How to do it ... ; How it works ... ; See also; Chapter 3: Processing Color Images with Classes; Comparing colors using the strategy design pattern
How to do it ... How it works ... ; There's more ... ; Computing the distance between two color vectors; Using OpenCV functions; The functor or function object; The OpenCV base class for algorithms; See also; Segmenting an image with the GrabCut algorithm; How to do it ... ; How it works ... ; See also; Converting color representations; Getting ready; How to do it ... ; How it works ... ; See also; Representing colors with hue, saturation, and brightness; How to do it ... ; How it works ... ; There's more ... ; Using colors for detection -- skin tone detection; Chapter 4: Counting the Pixels with Histograms
Computing the image histogramGetting started; How to do it ... ; How it works ... ; There's more ... ; Computing histograms of color images; See also; Applying lookup tables to modify the image's appearance; How to do it ... ; How it works ... ; There's more ... ; Stretching a histogram to improve the image contrast; Applying a lookup table on color images; Equalizing the image histogram; How to do it ... ; How it works ... ; Backprojecting a histogram to detect specific image content; How to do it ... ; How it works ... ; There's more ... ; Backprojecting color histograms
~РУБ DDC 006.37
Рубрики: Application Development.
Computer Vision.
Application Software--Development.
Computers--Artificial Intelligence--Computer Vision & Pattern Recognition.
Computers--Software Development & Engineering--General.
Computer vision--Programming.
C++ (Computer program language)
Application software.
Аннотация: This book will present a variety of CV algorithms using the standard library. It will implement any shortfall that might come in CV by practicing the recipes that implement various tasks such as image processing and object recognition among others. It will help you in implementing CV algorithms to meet the technical requirement of your projects.
Доп.точки доступа:
Laganiere, Robert.
E 76
Escrivá, David Millán.
OpenCV 4 Computer Vision Application Programming Cookbook. / David Millán. Escrivá, Laganiere, Robert. - [Place of publication not identified] : : 2019., Б. г. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/ECC59F6B-C7B1-4F67-AEAE-0D664374BCE9. - ISBN 9781789345285 (electronic bk.). - ISBN 1789345286 (electronic bk.)
Vendor-supplied metadata.
Параллельные издания: Print version: : Millán Escrivá, David. OpenCV 4 Computer Vision Application Programming Cookbook : Build Complex Computer Vision Applications with OpenCV and C++, 4th Edition. - Birmingham : Packt Publishing, Limited, ©2019. - ISBN 9781789340723
Содержание:
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Playing with Images; Installing the OpenCV library; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using Qt for OpenCV developments; The OpenCV developer site; See also; Loading, displaying, and saving images; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Clicking on images; Drawing on images; Running the example with Qt; See also; Exploring the cv::Mat data structure; How to do it ... ; How it works ... ; There's more ... ; The input and output arrays
See alsoDefining regions of interest; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using image masks; See also; Chapter 2: Manipulating the Pixels; Accessing pixel values; Getting ready; How to do it ... ; How it works ... ; There's more ... ; The cv::Mat_ template class; See also; Scanning an image with pointers; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Other color reduction formulas; Having input and output arguments; Efficient scanning of continuous images; Low-level pointer arithmetics; See also; Scanning an image with iterators; Getting ready
How to do it ... How it works ... ; There's more ... ; See also; Writing efficient image-scanning loops; How to do it ... ; How it works ... ; There's more ... ; See also; Scanning an image with neighbor access; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Performing simple image arithmetic; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Overloaded image operators; Splitting the image channels; Remapping an image; How to do it ... ; How it works ... ; See also; Chapter 3: Processing Color Images with Classes; Comparing colors using the strategy design pattern
How to do it ... How it works ... ; There's more ... ; Computing the distance between two color vectors; Using OpenCV functions; The functor or function object; The OpenCV base class for algorithms; See also; Segmenting an image with the GrabCut algorithm; How to do it ... ; How it works ... ; See also; Converting color representations; Getting ready; How to do it ... ; How it works ... ; See also; Representing colors with hue, saturation, and brightness; How to do it ... ; How it works ... ; There's more ... ; Using colors for detection -- skin tone detection; Chapter 4: Counting the Pixels with Histograms
Computing the image histogramGetting started; How to do it ... ; How it works ... ; There's more ... ; Computing histograms of color images; See also; Applying lookup tables to modify the image's appearance; How to do it ... ; How it works ... ; There's more ... ; Stretching a histogram to improve the image contrast; Applying a lookup table on color images; Equalizing the image histogram; How to do it ... ; How it works ... ; Backprojecting a histogram to detect specific image content; How to do it ... ; How it works ... ; There's more ... ; Backprojecting color histograms
Рубрики: Application Development.
Computer Vision.
Application Software--Development.
Computers--Artificial Intelligence--Computer Vision & Pattern Recognition.
Computers--Software Development & Engineering--General.
Computer vision--Programming.
C++ (Computer program language)
Application software.
Аннотация: This book will present a variety of CV algorithms using the standard library. It will implement any shortfall that might come in CV by practicing the recipes that implement various tasks such as image processing and object recognition among others. It will help you in implementing CV algorithms to meet the technical requirement of your projects.
Доп.точки доступа:
Laganiere, Robert.
3.
Подробнее
E 97
Examining fractal image processing and analysis / / [edited by] Soumya Ranjan Nayak, Jibitesh Mishra. - Hershey PA : : Engineering Science Reference, an imprint of IGI Global,, [2020]. - 1 online resource. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D148276F-F61F-49F3-B829-C69ECAA8E763. - ISBN 9781799800699 (electronic book). - ISBN 1799800695 (electronic book). - ISBN 1799800687 (electronic book). - ISBN 9781799800682 (electronic bk.)
Description based on online resource; title from digital title page (viewed on December 02, 2019).
Параллельные издания: Print version: : Examining fractal image processing and analysis. - ISBN 9781799800668
Содержание:
An Edge Detection Approach for Fractal Image Processing / Kalyan Kumar Jena, Sasmita Mishra, Sarojananda Mishra -- A Review on Chaos-Based Image Encryption Using Fractal Function / Anandkumar R., Kalpana R. -- Development of Algorithms for Medical Image Compression : Compression Algorithms / Pandian R. -- Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques / Tawheed Jan Shah, M. Tariq Banday -- A Performance Study of Image Quality Attributes on Smoothened Image Obtained by Anisotropic Diffusion-Based Models : A Comparative Study and Performance Evaluation / Muthukumaran Malarvel, Sivakumar S. -- A Review of Contemporary Image Compression Techniques and Standards / Tawheed Jan Shah, M. Tariq Banday -- Bio-Medical Image Processing : Medical Image Analysis for Malaria With Deep Learning / Rasmita Lenka, Koustav Dutta, Ashimananda Khandual, Soumya Ranjan Nayak -- Fatigue Monitoring for Drivers in Advanced Driver-Assistance System / Lakshmi Sarvani Videla, M. Ashok Kumar P -- Automatic Article Detection in a Jumbled Scene Using Point Feature Matching / Cmak Zeelan Basha, Azmira Krishna, S. Siva Kumar -- R-HOG Feature-Based Off-Line Odia Handwritten Character Recognition / Abhisek Sethy, Prashanta Kumar Patra -- Image Enhancement : Application of Dehazing and Color Correction for Enhancement of Nighttime Low Illumination Image /Rasmita Lenka, Asimananda Khandual, Koustav Dutta, Soumya Ranjan Nayak -- Analysis of Biomedical Image for Alzheimer's Disease Detection / Rashmi Kumari, Shashank Pushkar -- An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images / Kalyan Kumar Jena, Sasmita Mishra, Sarojananda Mishra.
~РУБ DDC 006.4/2
Рубрики: Computer vision.
Image processing--Digital techniques.
Image analysis.
Computer vision.
Image analysis.
Image processing--Digital techniques.
Аннотация: Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis. Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well.
Доп.точки доступа:
Nayak, Soumya Ranjan, (1984-) \editor.\
Mishra, Jibitesh, \editor.\
E 97
Examining fractal image processing and analysis / / [edited by] Soumya Ranjan Nayak, Jibitesh Mishra. - Hershey PA : : Engineering Science Reference, an imprint of IGI Global,, [2020]. - 1 online resource. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D148276F-F61F-49F3-B829-C69ECAA8E763. - ISBN 9781799800699 (electronic book). - ISBN 1799800695 (electronic book). - ISBN 1799800687 (electronic book). - ISBN 9781799800682 (electronic bk.)
Description based on online resource; title from digital title page (viewed on December 02, 2019).
Параллельные издания: Print version: : Examining fractal image processing and analysis. - ISBN 9781799800668
Содержание:
An Edge Detection Approach for Fractal Image Processing / Kalyan Kumar Jena, Sasmita Mishra, Sarojananda Mishra -- A Review on Chaos-Based Image Encryption Using Fractal Function / Anandkumar R., Kalpana R. -- Development of Algorithms for Medical Image Compression : Compression Algorithms / Pandian R. -- Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques / Tawheed Jan Shah, M. Tariq Banday -- A Performance Study of Image Quality Attributes on Smoothened Image Obtained by Anisotropic Diffusion-Based Models : A Comparative Study and Performance Evaluation / Muthukumaran Malarvel, Sivakumar S. -- A Review of Contemporary Image Compression Techniques and Standards / Tawheed Jan Shah, M. Tariq Banday -- Bio-Medical Image Processing : Medical Image Analysis for Malaria With Deep Learning / Rasmita Lenka, Koustav Dutta, Ashimananda Khandual, Soumya Ranjan Nayak -- Fatigue Monitoring for Drivers in Advanced Driver-Assistance System / Lakshmi Sarvani Videla, M. Ashok Kumar P -- Automatic Article Detection in a Jumbled Scene Using Point Feature Matching / Cmak Zeelan Basha, Azmira Krishna, S. Siva Kumar -- R-HOG Feature-Based Off-Line Odia Handwritten Character Recognition / Abhisek Sethy, Prashanta Kumar Patra -- Image Enhancement : Application of Dehazing and Color Correction for Enhancement of Nighttime Low Illumination Image /Rasmita Lenka, Asimananda Khandual, Koustav Dutta, Soumya Ranjan Nayak -- Analysis of Biomedical Image for Alzheimer's Disease Detection / Rashmi Kumari, Shashank Pushkar -- An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images / Kalyan Kumar Jena, Sasmita Mishra, Sarojananda Mishra.
Рубрики: Computer vision.
Image processing--Digital techniques.
Image analysis.
Computer vision.
Image analysis.
Image processing--Digital techniques.
Аннотация: Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis. Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well.
Доп.точки доступа:
Nayak, Soumya Ranjan, (1984-) \editor.\
Mishra, Jibitesh, \editor.\
4.
Подробнее
D 50
Dey, Sandipan,.
Python image processing cookbook : : over 60 recipes to help you perform complex image processing and computer vision tasks with ease / / Sandipan Dey. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/E8D7B698-72F2-40EB-9849-6F94C1208D9D. - ISBN 9781789535181. - ISBN 1789535182
Description based on online resource; title from title page (Safari, viewed September 16, 2020).
~РУБ DDC 005.133
Рубрики: Image processing.
Python (Computer program language)
Computer vision.
Machine learning.
Computer vision
Image processing
Machine learning
Python (Computer program language)
D 50
Dey, Sandipan,.
Python image processing cookbook : : over 60 recipes to help you perform complex image processing and computer vision tasks with ease / / Sandipan Dey. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/E8D7B698-72F2-40EB-9849-6F94C1208D9D. - ISBN 9781789535181. - ISBN 1789535182
Description based on online resource; title from title page (Safari, viewed September 16, 2020).
Рубрики: Image processing.
Python (Computer program language)
Computer vision.
Machine learning.
Computer vision
Image processing
Machine learning
Python (Computer program language)
5.
Подробнее
H 84
Howse, Joseph, (1984-).
Learning OpenCV 4 computer vision with Python 3 : : get to grips with tools, techniques, and algorithms for computer vision and machine learning / / Joseph Howse, Joe Minichino. - Third edition. - 1789531619. - Birmingham : : Packt Publishing,, 2020. - 1 online resource ( час. мин.), 1789531619. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D31BAFEF-7B5D-47B8-8293-59B709B52567. - ISBN 9781789530643 (electronic book). - ISBN 1789530644. - ISBN 9781789531619. - ISBN 1789531616
Description based upon online resource; title from PDF title page (viewed December 7, 2020).
Параллельные издания: Print version : :
Содержание:
Table of ContentsUnderstanding OpenCV and Setting Up EnvironmentHandling Files, Cameras, and GUIsProcessing Images with OpenCVDepth Estimation and SegmentationDetecting and Recognizing FacesRetrieving Images and Searching Using Image DescriptorsBuilding Custom Object DetectorsTracking ObjectsCamera Models and Augmented RealityNeural Networks with OpenCV -- An IntroductionAppendix 1: Bending Color Space with a Curves Filter.
~РУБ DDC 006.37
Рубрики: Computer vision.
OpenCV (Computer program language)
Python (Computer program language)
Computer vision.
OpenCV (Computer program language)
Python (Computer program language)
Аннотация: Now in its third edition, this is the original book on OpenCV's Python bindings. Readers will learn a great range of techniques and algorithms, from the classics to the state-of-the-art, and from geometry to machine learning. All of this is in aid of solving practical computer vision problems in well-built applications.
Доп.точки доступа:
Minichino, Joe, \author.\
H 84
Howse, Joseph, (1984-).
Learning OpenCV 4 computer vision with Python 3 : : get to grips with tools, techniques, and algorithms for computer vision and machine learning / / Joseph Howse, Joe Minichino. - Third edition. - 1789531619. - Birmingham : : Packt Publishing,, 2020. - 1 online resource ( час. мин.), 1789531619. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D31BAFEF-7B5D-47B8-8293-59B709B52567. - ISBN 9781789530643 (electronic book). - ISBN 1789530644. - ISBN 9781789531619. - ISBN 1789531616
Description based upon online resource; title from PDF title page (viewed December 7, 2020).
Параллельные издания: Print version : :
Содержание:
Table of ContentsUnderstanding OpenCV and Setting Up EnvironmentHandling Files, Cameras, and GUIsProcessing Images with OpenCVDepth Estimation and SegmentationDetecting and Recognizing FacesRetrieving Images and Searching Using Image DescriptorsBuilding Custom Object DetectorsTracking ObjectsCamera Models and Augmented RealityNeural Networks with OpenCV -- An IntroductionAppendix 1: Bending Color Space with a Curves Filter.
Рубрики: Computer vision.
OpenCV (Computer program language)
Python (Computer program language)
Computer vision.
OpenCV (Computer program language)
Python (Computer program language)
Аннотация: Now in its third edition, this is the original book on OpenCV's Python bindings. Readers will learn a great range of techniques and algorithms, from the classics to the state-of-the-art, and from geometry to machine learning. All of this is in aid of solving practical computer vision problems in well-built applications.
Доп.точки доступа:
Minichino, Joe, \author.\
6.
Подробнее
G 41
Gevorgyan, Menua,.
OpenCV 4 with Python blueprints : become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8 / / Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler. - Second edition. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D37D8526-B38D-4F4D-99AD-C7B83401D341. - ISBN 9781789617634 (PDF ebook). - ISBN 1789617634. - ISBN 1789801818
Параллельные издания: Print version : :
~РУБ DDC 006.37
Рубрики: Python (Computer program language)
Computer vision.
Computer vision
Python (Computer program language)
Аннотация: OpenCV 4 with Python Blueprints demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. and allow you to understand the foundations and approaches used in modern computer vision.
Доп.точки доступа:
Mamikonyan, Arsen, \author.\
Beyeler, Michael, \author.\
G 41
Gevorgyan, Menua,.
OpenCV 4 with Python blueprints : become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8 / / Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler. - Second edition. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D37D8526-B38D-4F4D-99AD-C7B83401D341. - ISBN 9781789617634 (PDF ebook). - ISBN 1789617634. - ISBN 1789801818
Параллельные издания: Print version : :
Рубрики: Python (Computer program language)
Computer vision.
Computer vision
Python (Computer program language)
Аннотация: OpenCV 4 with Python Blueprints demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. and allow you to understand the foundations and approaches used in modern computer vision.
Доп.точки доступа:
Mamikonyan, Arsen, \author.\
Beyeler, Michael, \author.\
7.
Подробнее
A 67
Applications of advanced machine intelligence in computer vision and object recognition : : emerging research and opportunities / / [edited by] Shouvik Chakraborty, Kalyani Mali. - Hershey, PA : : IGI Global, Engineering Science Reference,, [2020]. - 1 online resource (xx, 271 pages). : il. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/0F16A6B5-7095-4E35-8FE6-CDAE14A3BE3D. - ISBN 9781799827382 (electronic book). - ISBN 1799827380 (electronic book). - ISBN 9781799827399 (electronic bk.). - ISBN 1799827399 (electronic bk.)
Description based on online resource; title from digital title page (viewed on April 10, 2020).
Параллельные издания: Print version: : Applications of advanced machine intelligence in computer vision and object recognition. - Hershey, PA : Engineering Science Reference, 2020. - ISBN 9781799827368
Содержание:
Chapter 1. A robust image encryption method using chaotic skew-tent map -- Chapter 2. Anisotropic diffusion-based color texture analysis for industrial application -- Chapter 3. A brief overview on intelligent computing-based biological data and image analysis -- Chapter 4. An advanced approach to detect edges of digital images for image segmentation -- Chapter 5. Fusion approach-based horticulture plant diseases identification using image processing -- Chapter 6. A generalized overview of the biomedical image processing from the big data perspective -- Chapter 7. Image fusion techniques for different multimodality medical images based on various conventional and hybrid algorithms for disease analysis -- Chapter 8. An overview of biomedical image analysis from the deep learning perspective -- Chapter 9. Segmentation-free word spotting in handwritten documents using scale space co-hog feature descriptors.
~РУБ DDC 006.3/843
Рубрики: Computer vision.
Machine learning.
Computer vision.
Machine learning.
Аннотация: "This book explores recent developments and advancements in object recognition using artificial intelligence"--
Доп.точки доступа:
Chakraborty, Shouvik, (1992-) \editor.\
Mali, Kalyani, (1962-) \editor.\
A 67
Applications of advanced machine intelligence in computer vision and object recognition : : emerging research and opportunities / / [edited by] Shouvik Chakraborty, Kalyani Mali. - Hershey, PA : : IGI Global, Engineering Science Reference,, [2020]. - 1 online resource (xx, 271 pages). : il. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/0F16A6B5-7095-4E35-8FE6-CDAE14A3BE3D. - ISBN 9781799827382 (electronic book). - ISBN 1799827380 (electronic book). - ISBN 9781799827399 (electronic bk.). - ISBN 1799827399 (electronic bk.)
Description based on online resource; title from digital title page (viewed on April 10, 2020).
Параллельные издания: Print version: : Applications of advanced machine intelligence in computer vision and object recognition. - Hershey, PA : Engineering Science Reference, 2020. - ISBN 9781799827368
Содержание:
Chapter 1. A robust image encryption method using chaotic skew-tent map -- Chapter 2. Anisotropic diffusion-based color texture analysis for industrial application -- Chapter 3. A brief overview on intelligent computing-based biological data and image analysis -- Chapter 4. An advanced approach to detect edges of digital images for image segmentation -- Chapter 5. Fusion approach-based horticulture plant diseases identification using image processing -- Chapter 6. A generalized overview of the biomedical image processing from the big data perspective -- Chapter 7. Image fusion techniques for different multimodality medical images based on various conventional and hybrid algorithms for disease analysis -- Chapter 8. An overview of biomedical image analysis from the deep learning perspective -- Chapter 9. Segmentation-free word spotting in handwritten documents using scale space co-hog feature descriptors.
Рубрики: Computer vision.
Machine learning.
Computer vision.
Machine learning.
Аннотация: "This book explores recent developments and advancements in object recognition using artificial intelligence"--
Доп.точки доступа:
Chakraborty, Shouvik, (1992-) \editor.\
Mali, Kalyani, (1962-) \editor.\
8.
Подробнее
K 21
Kar, Krishnendu,.
Advanced computer vision with TensorFlow 2.x : build advanced computer vision applications using machine learning and deep learning techniques / / Krishnendu Kar. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/669C26B6-FFE3-4EF1-A518-11052A787903. - ISBN 9781838826932 (e-book). - ISBN 1838826939
Параллельные издания: Print version : :
~РУБ DDC 006.37
Рубрики: Computer vision.
Machine learning.
Computer vision
Machine learning
K 21
Kar, Krishnendu,.
Advanced computer vision with TensorFlow 2.x : build advanced computer vision applications using machine learning and deep learning techniques / / Krishnendu Kar. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/669C26B6-FFE3-4EF1-A518-11052A787903. - ISBN 9781838826932 (e-book). - ISBN 1838826939
Параллельные издания: Print version : :
Рубрики: Computer vision.
Machine learning.
Computer vision
Machine learning
9.
Подробнее
M 35
Martinez, Jesus.
TensorFlow 2. 0 Computer Vision Cookbook [[electronic resource] :] : Implement Machine Learning Solutions to Overcome Various Computer Vision Challenges. / Jesus. Martinez. - Birmingham : : Packt Publishing, Limited,, 2021. - 1 online resource (542 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/3B12102B-E8B5-472A-9881-525304350574. - ISBN 183882068X. - ISBN 9781838820688 (electronic bk.)
Description based upon print version of record.
Параллельные издания: Print version: : Martinez, Jesus TensorFlow 2. 0 Computer Vision Cookbook. - Birmingham : Packt Publishing, Limited,c2021
~РУБ DDC 006.31
Рубрики: COMPUTERS--Computer Vision & Pattern Recognition.
COMPUTERS--Image Processing.
COMPUTERS--Machine Theory.
Computer vision.
Machine learning.
Image processing--Digital techniques.
M 35
Martinez, Jesus.
TensorFlow 2. 0 Computer Vision Cookbook [[electronic resource] :] : Implement Machine Learning Solutions to Overcome Various Computer Vision Challenges. / Jesus. Martinez. - Birmingham : : Packt Publishing, Limited,, 2021. - 1 online resource (542 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/3B12102B-E8B5-472A-9881-525304350574. - ISBN 183882068X. - ISBN 9781838820688 (electronic bk.)
Description based upon print version of record.
Параллельные издания: Print version: : Martinez, Jesus TensorFlow 2. 0 Computer Vision Cookbook. - Birmingham : Packt Publishing, Limited,c2021
Рубрики: COMPUTERS--Computer Vision & Pattern Recognition.
COMPUTERS--Image Processing.
COMPUTERS--Machine Theory.
Computer vision.
Machine learning.
Image processing--Digital techniques.
10.
Подробнее
C 43
Challenges and applications for implementing machine learning in computer vision / / Ramgopal Kashyap, Amity University, Raipur, India, A.V. Senthil Kumar, Hindusthan College of arts and science, India. - 4018/978-1-7998-0182-5. - Hershey, PA : : IGI Global/Engineering Science Reference, an imprint of IGI Global,, [2020]. - 1 online resource (xxv, 293 pages). : il ( час. мин.), 4018/978-1-7998-0182-5. - (IGI global disseminator of knowledge). - Includes bibliographical references (pages 271-287) and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/47EE98A1-4E20-45B4-AE52-9D8F6A43D5BE. - ISBN 9781799801856 (ebook). - ISBN 1799801853. - ISBN 1799801845 (electronic book). - ISBN 9781799801849 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Challenges and applications for implementing machine learning in computer vision. - Hershey, PA : IGI Global/Engineering Science Reference, an imprint of IGI Global, [2020]. - ISBN 9781799801825
Содержание:
Chapter 1. Development of class attendance system using face recognition for faculty of mechanical and manufacturing engineering, Universiti Tun Hussein Onn Malaysia -- Chapter 2. Deep learning in computational neuroscience -- Chapter 3. Advanced diagnosis techniques in medical imaging -- Chapter 4. Challenges of applying deep learning in real-world applications -- Chapter 5. Challenges and applications for implementing machine learning in computer vision: machine learning applications and approaches -- Chapter 6. Medical imaging importance in the real world -- Chapter 7. Image processing approaches and disaster management -- Chapter 8. Artificial intelligence and machine learning algorithms -- Chapter 9. Application of content-based image retrieval in medical image acquisition -- Chapter 10. Machine learning for health data analytics: a few case studies of application of regression.
~РУБ DDC 006.3/7
Рубрики: Computer vision.
Machine learning.
Computer vision.
Machine learning.
Аннотация: "This book examines the latest advances and trends in computer vision and machine learning algorithms for various applications"--
Доп.точки доступа:
Kashyap, Ramgopal, (1984-) \editor.\
Kumar, A. V. Senthil, (1966-) \editor.\
C 43
Challenges and applications for implementing machine learning in computer vision / / Ramgopal Kashyap, Amity University, Raipur, India, A.V. Senthil Kumar, Hindusthan College of arts and science, India. - 4018/978-1-7998-0182-5. - Hershey, PA : : IGI Global/Engineering Science Reference, an imprint of IGI Global,, [2020]. - 1 online resource (xxv, 293 pages). : il ( час. мин.), 4018/978-1-7998-0182-5. - (IGI global disseminator of knowledge). - Includes bibliographical references (pages 271-287) and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/47EE98A1-4E20-45B4-AE52-9D8F6A43D5BE. - ISBN 9781799801856 (ebook). - ISBN 1799801853. - ISBN 1799801845 (electronic book). - ISBN 9781799801849 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Challenges and applications for implementing machine learning in computer vision. - Hershey, PA : IGI Global/Engineering Science Reference, an imprint of IGI Global, [2020]. - ISBN 9781799801825
Содержание:
Chapter 1. Development of class attendance system using face recognition for faculty of mechanical and manufacturing engineering, Universiti Tun Hussein Onn Malaysia -- Chapter 2. Deep learning in computational neuroscience -- Chapter 3. Advanced diagnosis techniques in medical imaging -- Chapter 4. Challenges of applying deep learning in real-world applications -- Chapter 5. Challenges and applications for implementing machine learning in computer vision: machine learning applications and approaches -- Chapter 6. Medical imaging importance in the real world -- Chapter 7. Image processing approaches and disaster management -- Chapter 8. Artificial intelligence and machine learning algorithms -- Chapter 9. Application of content-based image retrieval in medical image acquisition -- Chapter 10. Machine learning for health data analytics: a few case studies of application of regression.
Рубрики: Computer vision.
Machine learning.
Computer vision.
Machine learning.
Аннотация: "This book examines the latest advances and trends in computer vision and machine learning algorithms for various applications"--
Доп.точки доступа:
Kashyap, Ramgopal, (1984-) \editor.\
Kumar, A. V. Senthil, (1966-) \editor.\
Страница 1, Результатов: 10