caa a22 4500 445851538 CHVBK 20180317145415.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s11227-010-0532-x doi (NATIONALLICENCE)springer-10.1007/s11227-010-0532-x Regions of interest extraction from color image based on visual saliency [Elektronische Daten] [Chaobing Huang, Quan Liu, Shengsheng Yu] Many computer vision applications, such as object recognition and content-based image retrieval could function more reliably and effectively if regions of interest were isolated from their background. Anew method for regions of interest extraction from color image based on visual saliency in HSV color space is proposed in this paper. Color saliency is calculated by a two-dimensional sigmoid function using the saturation component and brightness component, and we can identify regions with vivid color. Discrete Moment Transform (DMT)-based saliency can determine large areas of interest. Avisual saliency map is obtained by combining color saliency and DMT-based saliency, which is denoted the Simage. Acriterion for the local homogeneity called the Eimage is calculated in the image. Based on Simage and Eimage, the high visual saliency object seed points set and low visual saliency object seed points set are determined. The seeded regions growing and merging are used to extract regions of interest. Experimental results demonstrate the effectiveness and efficiency of the method for the natural color images. Springer Science+Business Media, LLC, 2010 Regions of interest nationallicence Visual saliency map nationallicence E image nationallicence Visual saliency objects seed points set nationallicence Seeded-region growing nationallicence Huang Chaobing School of Information Engineering, Wuhan University of Technology, 430070, Wuhan, China aut Liu Quan School of Information Engineering, Wuhan University of Technology, 430070, Wuhan, China aut Yu Shengsheng School of Computer Science & Technology, Huazhong University of Science & Technology, 430074, Wuhan, China aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/1(2011-10-01), 20-33 0920-8542 58:1<20 2011 58 11227 https://doi.org/10.1007/s11227-010-0532-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-010-0532-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Huang Chaobing School of Information Engineering, Wuhan University of Technology, 430070, Wuhan, China aut NATIONALLICENCE 700 1- Liu Quan School of Information Engineering, Wuhan University of Technology, 430070, Wuhan, China aut NATIONALLICENCE 700 1- Yu Shengsheng School of Computer Science & Technology, Huazhong University of Science & Technology, 430074, Wuhan, China aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/1(2011-10-01), 20-33 0920-8542 58:1<20 2011 58 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer