Optical And Digital Image Processing

Learn Computer Vision With OpenCV In Python! Master Python By Implementing Face Recognition & Image Processing In Python

This book is specifically dedicated to digital imaging research, applications, techniques, tools, and algorithms that originate from different fields such as image processing, computer vision, pattern recognition, signal processing, artificial intelligence, intelligent systems, and soft computing. This comprehensive book contains state-of-the-art chapters focusing on the latest developments using theories, methods, approaches, algorithms, analyses, display of images, visual information, and videos.

Learn Computer Vision With OpenCV In Python! Master Python By Implementing Face Recognition & Image Processing In Python

Learn Computer Vision With OpenCV In Python! Master Python By Implementing Face Recognition & Image Processing In Python

Reporting the state of the art of color image processing, this monograph fills an existing gap in the literature on digital signal and image processing. It can serve the needs of different users at different levels: as a textbook which covers a graduate image processing course, as a up-to-date reference for researchers since it offers a broad survey of the relevant literature, and as a relevant information source for development engineers who work in the design and the implementation of various image processing tasks. Part of the material in the book was the basis of seminars at the University of Toronto. The book contains numerous examples and pictures of color image processing results, as well as tables which summarize the results of the analysis. Algorithms implemented in JAVA can be downloaded from the author's website .

In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections - Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering. The content of the book is accessible to a large number of readers.

The 121 revised full papers and 52 short papers presented together with the abstracts of 3 invited papers and those of the keynote speeches were carefully reviewed and selected from a total of 467 submissions. The papers cover a wide range of topics, including e-learning platforms and tools, learning resource management, practice and experience sharing, e-learning standards, mobile learning, education and remote classrooms, effectiveness of VR for education, life long learning, collaborative environments, remote group simulations, collaborative learning, virtual reality in education, game design and development, game engine development, game AI and artificial life, game physics, game rendering, virtual characters/agents, online/mobile game/video game, storytelling and game narrative, affective interaction in games, digital museum, digital heritage, animation techniques, augmented reality, and mixed reality.