Introductory computer vision and image processing
著者
書誌事項
Introductory computer vision and image processing
McGraw-Hill, c1991
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注記
Includes bibliographical references (p. 237-239) and index
内容説明・目次
内容説明
This text is designed to provide a comprehensive introduction to the subjects of computer vision and image processing. Adopting a tutorial approach throughout, it covers the whole range of computer vision, concentrating on image processing. Liberally sprinkled throughout with case studies, full-length application examples and exercises, it is ideal for the undergraduate/postgraduate student and the practitioner who needs to discover techniques for implementing computer vision solutions to real world problems. Introductory Computer Vision and Image Processing assumes a familiarity with standard computer terminology, but it does not require the reader to have an in-depth knowledge of such areas as AI, maths and graphics. It is oriented towards the IBM PC throughout.
目次
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. Glossary. Bibliography. Acknowledgements.
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