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Exploiting surroundedness for saliency detection: a boolean map approach This work was made openly accessible by BU Faculty. Please share how this access benefits you. Your story matters. Abstract A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized by a set of binary images, which are generated by randomly thresholding the image's color channels. Based on a Gestalt principle of figure-ground segregation, BMS computes saliency maps by analyzing the topologicaldoi:10.1109/tpami.2015.2473844 pmid:26336114 fatcat:ra253jx625cuddlr4z7oakhjjm