Machine Vision : Theory, Algorithms, Practicalities

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Machine Vision : Theory, Algorithms, Practicalities ISBN  0122060938 Release Date  22 December 2004 Category  Computer Vision Tags  machine vision,   vision,   machine,   This book @Amazon  View Tools Google Search Web flazx.com

Description In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need. As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. · Includes solid, accessible coverage of 2-D and 3-D scene analysis. · Offers thorough treatment of the Hough Transforma key technique for inspection and surveillance. · Brings vital topics and techniques together in an integrated system design approach. · Takes full account of the requirement for real-time processing in real applications. Other books on Computer Vision Blind Image Deconvolution: Theory and Applications Computer Vision/Computer Graphics Collaboration Techniques: Third International Conference on Computer Vision/Computer Graphics, MIRAGE 2007, Rocquencourt, ... (Lecture Notes in Computer Science) Multispectral Image Analysis Using the Object-Oriented Paradigm Handbook of Mathematical Models in Computer Vision Image Processing Using Pulse-Coupled Neural Networks Machine Learning in Computer Vision (Computational Imaging and Vision) Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science) Machine Vision : Theory, Algorithms, Practicalities Computer Vision Beyond the Visible Spectrum (Advances in Pattern Recognition) Multiple View Geometry in Computer Vision Biologically Motivated Computer Vision 2D Object Detection and Recognition: Models, Algorithms, and Networks Computer Vision: A Modern Approach Image Recognition and Classification (Optical Engineering, 78) Scale-Space and Morphology in Computer Vision