<p><em>Bayesian Approach to Image Interpretation</em> will interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpret
Bayesian Approach to Image Interpretation
✍ Scribed by Sunil K. Kopparapu, Uday B. Desai
- Publisher
- Kluwer Academic Publishers
- Year
- 2001
- Tongue
- English
- Leaves
- 144
- Series
- The Kluwer international series in engineering and computer science SECS 616
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Writing for students and researchers in the field, Kopparapu (research and development for a private company in Bangalore, India) and Desai (electrical engineering, Indian Institute of Technology, Bombay) present a description and up-to-date treatment of image interpretation. The initial chapters describe the state of research, Markov random fields, their application to computer vision, the concept of cliques, and Bayesian network image interpretation. The authors then propose a new approach that applies synergism between the process of segmentation and interpretation in a multi-resolution framework and presents a joint segmentation and image interpretation algorithm.
✦ Subjects
Информатика и вычислительная техника;Обработка медиа-данных;Обработка изображений;
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