Description: 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 topological structure of Boolean maps.
BMS is simple to implement and efficient to run. Despite
its simplicity, BMS consistently achieves state-of-the-art
performance compared with ten leading methods on five eye
tracking datasets. Furthermore, BMS is also shown to be
advantageous in salient object detection.
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File list (Check if you may need any files):
mex
...\BMS.cpp
...\BMS.h
...\compile.m
...\fileGettor.h
...\mexBMS.cpp
...\mexopencv.hpp
...\MxArray.cpp
...\MxArray.hpp
...\OS_specific.h
output_efp
..........\Thumbs.db
output_sod
..........\Thumbs.db
src
...\Image_95.bmp
...\Thumbs.db
BMS.m
demo.m
readme.txt
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