Bayesian Approach to Image Interpretation (The Kluwer International Series in Engineering and Computer Science, Volume 616) (The International Series in Engineering and Computer Science) by Sunil K. Kopparapu (Author), Uday B. Desai (Author)
Publisher: Springer; 1 edition (July 1, 2001) | ISBN-10: 0792373723 | DjVu | 1,4 Mb | 144 pages
Bayesian Approach to Image Interpretation 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 interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation will be beneficial.