Feature extraction in computer vision and image processing

This text focuses on feature extraction while also encompassing issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction. Introduction -- Images, sampling and frequency domain processing -- Basic image processing operations -- Low-level feature extraction (including edge detection) -- Feature extraction by shape matching -- Flexible shape extraction (snakes and other techniques) -- Object description -- Introduction to texture description, segmentation and classification -- Appendices Image processing and computer vision is currently a hot topic with undergraduates and professionals alike. 'Computer Vision and Image Processing' is the first book to provide a discussion of how techniques in this field can be implemented together, coupled with a deeper presentation of the analytical material. The additional working meta-level software on the web not only allows students to see the techniques described in the book actually working, but also lets them explore areas with which they are unfamiliar.Focusing on feature extraction while also encompassing issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the author has a clear and coherent approach that will appeal to all those interested in feature extraction. Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.

*Ideal module text for courses in artificial intelligence, image processing and computer vision
*Essential reading for engineers and academics working in this cutting-edge field
*Supported by free software on a companion website Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. *Ideal module text for courses in artificial intelligence, image processing and computer vision *Essential reading for engineers and academics working in this cutting-edge field *Supported by free software on a companion website