Segmentation Via Multiple Looks Of Image Sequences Using The A Priori Probability Mask

Daechul Park, D. Hush
Twenty-Second Asilomar Conference on Signals, Systems and Computers  
A multiple-look segmentation technique for processing image sequences which uses a probability mask is presented. By designing the segmentation process in two stages ; the probability mask formation, and the refinement by the Maximum A Posteriori(MAP) decision rule, a more reliable silhouette of a moving object is obtained for classification. Experimental results are presented showing the a priori probability mask formation and a comparison of the results of the Maximum Likelihood(ML) decision
more » ... ihood(ML) decision rule with those of the MAP decision rule. Here we assume that geometry(or shape) does not change within the "window" of looks required to perform the segmentation.
doi:10.1109/acssc.1988.754598 fatcat:jyyzxgu64vhsrcc2dloabtrawq