Salient Region Extraction based on Global Contrast Enhancement and Saliency Cut for Image Information Recognition of the Visually Impaired
Saliency region extraction has become an important task and attracts much attention in numerous image processing application. Object of interest image segmentation from natural scene images for assisting the visually impaired people to access visual information is becoming more challenging research area for community. In this paper we propose a novel color contrast based saliency region extraction approach by adding pre processing contrast enhancement technique and using saliency cut method to get a high quality foreground object mask, could be used for assistive technology system for visually impaired people. A lot of research has focused on high quality segmentation, using color information and background or foreground prior, with surprisingly unnoticed image enhancement technique before region segmentation. Moreover, image enhancement is used to improve bad quality of picture into good picture, helpful for blind people's daily life since all randomly taken images might not be good quality. We evaluate our proposed method on the most known benchmark databases. Keywords Saliency region extraction; visual attention; visually impaired people; saliency map; saliency cut; image enhancement;
KSII Trans. Internet Inf. Syst.