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Implementation of Image Adaptive Map  

Park, Sang-Bum (숭실대학교 전자공학과)
Kim, Ki-Joong (숭실대학교 전자공학과)
Han, Young-Joon (숭실대학교 전자공학과)
Hahn, Hern-Soo (숭실대학교 전자공학과)
Publication Information
Journal of the Korean Society for Precision Engineering / v.25, no.2, 2008 , pp. 131-139 More about this Journal
Abstract
This paper presents a new saliency map which is constructed by providing dynamic weights on individual features in an input image to search ROI(Region Of Interest) or FOA(Focus Of Attention). To construct a saliency map on there is no a priori information, three feature-maps are constructed first which emphasize orientation, color, and intensity of individual pixels, respectively. From feature-maps, conspicuity maps are generated by using the It's algorithm and their information quantities are measured in terms of entropy. Final saliency map is constructed by summing the conspicuity maps weighted with their individual entropies. The prominency of the proposed algorithm has been proved by showing that the ROIs detected by the proposed algorithm in ten different images are similar with those selected by one-hundred person's naked eyes.
Keywords
Saliency map; Feature-map; Conspicuity map; Region of interest; Focus of attention;
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Times Cited By KSCI : 1  (Citation Analysis)
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