Image Technology: Advances in Image Processing, Multimedia and Machine Vision / Edition 1

by Jorge L.C. Sanz

Overview

Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.

Product Details

ISBN-13:	9783540583066
Publisher:	Springer Berlin Heidelberg
Publication date:	02/22/1996
Edition description:	1996
Pages:	745
Product dimensions:	6.10(w) x 9.25(h) x 0.06(d)

Table of Contents

Vision for Mobile Robots.- 3D Constraints on Monocular Image Sequences: Theory and Algorithms.- Integrating Selective Attention and Space-Variant Sensing in Machine Vision.- Modeling Color Images for Machine Vision.- A Fast Algorithm for MDL-Based Multi-Band Image Segmentation.- A Vision System for Estimating People Flow.- A Bayesian Network for Automatic Visual Crowding Estimation in Underground Stations.- Recognition of Motor Vehicle License Plates in Rear-View Images.- Automatic System of Quality Control by Vision of Hybird Circuits.- An Image Analysis Based Method to Evaluate Gravure Paper Quality.- A Vision System for an Autonomous Underwater Vehicle.- Visual Inspection of Machined Parts.- Texture Analysis in Industrial Applications.- Methods for Illumination-Invariant Image Processing.- A Comparison of Algorithms for Subpixel Peak Detection.- Splines and Spline Fitting Revisited.- Algorithms for a Fast Confocal Optical Inspection System.- Qualitative Recognition of Aircraft in Perspective Aerial Images.- Scanning Probe Microscopy: Trends and Image Processing Issues.- Advances in Image Information Modeling.- Lossless Compression of Medical Images by Content-Driven Laplacian Pyramid Splitting.- Video Compression for Multimedia Applications.- Directionality and Scalability in Subband Image and Video Compression.