To Evaluate Salience Map towards Popping out Visual Objects
Ma Ru · Acta Automatica Sinica · 2012
The aim of this paper is to present a quantitative evaluation of five popular salience maps for object segmentation.First,five salience maps are revisited in terms of theory foundation.Second,human segmentation is taken as the ground truth of interesting objects pop-out to build three quantitative evaluation ratios of salience map to human segmentation.Finally,evaluation experiments are conducted on three image databases of Corel,MSRA and Weizmann.Results show some insights into the performances of these different salience maps in object segmentation.This research is believed meaningful and useful for the further development of salience-driven methods for object segmentation.