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001			88971663
003			FRCYB88971663
005			20251020124041.0
006			m o d
007			cr un
008			251020s2025 fr | o|||||0|0|||eng d
020			_a9789365890037
035			_aFRCYB88971663
040			_aFR-PaCSA _ben _c _erda
100	1		_aDey, Sandipan
245	0	1	_aImage Processing and Computer Vision Masterclass with Python _bLearn advanced image processing techniques, computer vision fundamentals, and applications (English Edition) _c['Dey, Sandipan']
264		1	_bBPB Publications _c2025
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aDey, Sandipan
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88971663 _qtext/html _a
520			_aDescription Image processing and computer vision technologies, combined with the rapid advancements in generative AI, have become foundational to many modern applications. As visual data continues to grow exponentially, the ability to analyze, interpret, and generate images using advanced algorithms and AI is more critical than ever for driving innovation across industries. This book provides a thorough exploration of advanced techniques and practical implementations in the field of computer vision. This book offers a problem-oriented approach that bridges traditional image processing with modern machine learning and generative AI methods. This new edition significantly expands into specialized domains with medical imaging applications using professional libraries like pydicom, ITK, and nnUNet for clinical diagnosis, including COVID-19 detection and brain tumor segmentation, plus remote sensing analysis with satellite processing. By the end of this book, readers will have developed strong practical skills in both classical and cutting-edge image processing and computer vision techniques, empowered to confidently design, implement, and adapt solutions across a wide range of real-world applications. They will emerge with a deep understanding of theory, hands-on coding experience, and the ability to leverage AI and generative models to push the boundaries of visual computing. What you will learn ? Restore and enhance images using classical and deep learning methods. ? Segment images with advanced clustering and neural network techniques. ? Extract and match features for image alignment and recognition. ? Build and train image classifiers with ML and AI. ? Learn advanced restoration and inpainting techniques using cutting-edge deep learning models. ? Explore specialized domain expertise in medical imaging applications using professional libraries. Who this book is for This book is ideal for undergraduate and graduate students, researchers, and professionals in computer vision, image processing, and AI. It also serves computer vision engineers, image analysts, data scientists, software engineers, and industry practitioners seeking practical, hands-on expertise using Python. Table of Contents 1. Image Restoration and Inverse Problems in Image Processing 2. More Image Restoration and Image Inpainting 3. Image Segmentation 4. More Image Segmentation 5. Image Feature Extraction and Its Applications: Image Registration 6. Applications of Image Feature Extraction 7. Image Classification 8. Object Detection and Recognition 9. Application of Image Processing and Computer Vision in Medical Imaging 10. Application of Image Processing and Computer Vision in Medical Imaging and Remote Sensing 11. Miscellaneous Problems in Image Processing and Computer Vision
999			_c1556199 _d1556199