Machine Vision: Automated Visual Inspection and Robot Vision
by David Vernon
Publisher: Prentice Hall 1991
Number of pages: 260
Machine vision is a multidisciplinary subject, utilizing techniques drawn from optics, electronics, mechanical engineering, computer science, and artificial intelligence. This book is an introduction to Machine Vision which will allow the reader quickly to comprehend the essentials of this fascinating topic. Emphasis will be placed on the fundamental tools for image acquisition, processing, and analysis; a range of techniques, dealing with very simple two dimensional systems, through more sophisticated two-dimensional approaches, to the three-dimensional robot vision, will be explained in some detail.
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by Dana H. Ballard, Christopher M. Brown - Prentice Hall
The book on computer vision - the construction of explicit, meaningful descriptions of physical objects from images. Parts of the book assume some mathematical and computing background, but mainly mathematical rigor takes a backseat to concepts.
by David Marshall - Cardiff School of Computer Science
From the table of contents: Image Acquisition: 2D Image Input, 3D imaging; Image processing: Fourier Methods, Smoothing Noise; Edge Detection; Edge Linking; Segmentation; Line Labelling; Relaxation Labelling; Optical Flow; Object Recognition.
by Kresimir Delac, Mislav Grgic - InTech
This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying potential research directions within the area.
by Adrian Horridge - ANU E Press
The book is the only account of what the bee actually detects with its eyes. The erratic path to understanding makes interesting reading for anyone with an analytical mind who thinks about the methods of science or the engineering of seeing machines.