by Peng-Yeng Yin
Publisher: IN-TECH 2008
Number of pages: 626
The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition.
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by Rustam Stolkin - InTech
This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The areas of low level vision such as segmentation, edge detection, and region identification, are the focus of this book.
by Jan Erik Solem - O'Reilly Media
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts.
by S. Dance, Z.Q. Liu, T.M. Caelli - World Scientific
Explores a method for symbolically intrepreting images based upon a parallel implementation of a network-of-frames to describe intelligent processing. The system has been implemented in an object-oriented environment in the language Parlog++.
by Bruce G. Batchelor - Springer-Verlag
The author introduces the basic concepts of machine vision, then develops these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Several case studies in industrial applications are discussed.