Advances In Machine Vision Image Processing And Pattern Analysis


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Advances in Machine Vision, Image Processing, and Pattern Analysis


Advances in Machine Vision, Image Processing, and Pattern Analysis

Author: Nanning Zheng

language: en

Publisher: Springer

Release Date: 2006-08-15


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This book collects the proceedings of the International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006, held in Xi'an, China alongside the 18th International Conference on Pattern Recognition, ICPR 2006. The book presents 51 revised full papers and 128 revised poster papers, organized in topical sections on object detection, tracking and recognition, pattern representation and modeling, visual pattern modeling, image processing, compression and coding and texture analysis/synthesis.

Advances in Machine Vision, Image Processing, and Pattern Analysis


Advances in Machine Vision, Image Processing, and Pattern Analysis

Author: Nanning Zheng

language: en

Publisher: Springer

Release Date: 2006-08-11


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This book collects the proceedings of the International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006, held in Xi'an, China alongside the 18th International Conference on Pattern Recognition, ICPR 2006. The book presents 51 revised full papers and 128 revised poster papers, organized in topical sections on object detection, tracking and recognition, pattern representation and modeling, visual pattern modeling, image processing, compression and coding and texture analysis/synthesis.

Image Processing, Analysis, and Machine Vision


Image Processing, Analysis, and Machine Vision

Author: Tomas Svoboda

language: en

Publisher: Cengage Learning

Release Date: 2008


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This book is a companion book to the comprehensive text entitled Image Processing, Analysis, and Machine Vision by M. Sonka, V. Hlavac, and R. Boyle. This workbook provides additional material for readers of Sonka and is similarly structured. Written for students, teachers and practitioners to acquire practical understanding in a hands on fashion, this book provides the reader with short-answer questions, problems and selected algorithms from the main text using MATLAB in levels of varying difficulty. These resources can be used as extra practice for students to reinforce the material studied within the main text or can be useful as test materials for teachers.