Image Segmentation Based on Regions of Interest
Gui Xiao-ling · Computer Knowledge and Technology · 2011
Based on the regions of interest,a procedure for image segmentation is proposed.In the procedure,an integrated saliency map for a given image,which reflects the significance of regions in the image,is generated first based on the bottom-up human visual attention model,then two region segmentation methods,the image segmentation using the maximum entropy of the one-dimensional histogram and the region growing based on the focus of attention,are defined and used to separate the image into different regions.Here,the focus of attention is obtained from the saliency map.Hereafter,combining the saliency map and the segmented image,the first three most salient regions,as the salient region set,are obtained in term of the average saliency of the regions.Experimental results show that our method can reflect the semantic feature of a given image to a certain extent,and it can obtain better segmentation results.