ITERATIVE ALGORITHM FOR MULTIDIMENSIONAL IMAGE ANALYSIS
В. М. Лисицын, V. A. Stephanov, N. N. Pasechny, К. В. Обросов · 1990
The paper considers the method of segmentation and analysis of one class of multidimensional speckled images; the specific feature of these images is the presence of some statistical dependence between the value of one component and the validity of value assessment of the other. The proposed method provides a common approach to segmentation procedure irrespective of physical processes featt~e of imae.e generation tmder stated conditions. For normal para'TIeter assessment distributlon based on a maximum a· posteriori probability criterion. Each region being segmented is assigned an index. At the same tL'TIe algorithm allows to carry out analysis of the reference scene, since its output is not only a se~ented image but also characteristics of each of regions being extracted (looatlon and parameter veotor).