A novel approach for salient region detection
Suresh Chandra Raikwar, Ruchira Manke, Charul Bhatnagar, Anand Singh Jalal · 2016
Selective attention is a part of cognition process. An object in an image gets attention only if human eye attracts towards it. The brain relies on attention to detect salient part of an Image and filter out background details. The salient object detection problem is formulated as segmentation of Image to separate salient object from background. The proposed method is based on the feature used to measure human perception. The proposed method works in two steps, firstly the probable salient region is extracted based on human perception, then the color distribution is used to extract salient object. The efficiency and accuracy of proposed work measured on a standard database (MSRA).