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This book is a major update of Prof. Adrian Low`s first edition entitled Introductory Computer Vision and Image Processing, published by McGraw Hill in 1991. Since the first edition was published, there has been a fantastic number of developments in the underlying theory, techniques and applications in computer vision and image processing. The Second Edition brings the science of image up-to-date but still maintains the gentle approach, avoiding substantial mathematics. Recognising that many students want an intuitive understanding rather than a detailed exposition, the book develops ideas in a readable and user-friendly language, adding code where sensible so that, the student can incorporate the ideas into projects without having to recreate the wheel themselves.Main Features
Focussed on small images and few colours precisely so that algorithms can be explained using real numbers and not just formulae
Added new techniques that will help those seeking algorithms to do imaging
Described the subject to less mathematical students. Contents
Introduction
The Image Model
Image Acquisition
Image Presentation
Statistical Operations
Spatial Operations and Transformations
Segmentation and Edge Detection
Morphological and Other Area Operations
Finding Basic Shapes
Labelling Lines and Regions
Reasoning, Facts and Inferences
Pattern Recognition and Training
The Frequency Domain
Applications of Frequency Domain Processing
Image Compression
Texture
Other Topics
Applications . ISBN 9788178001977
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Pages : 299
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