Abstract：Aiming at the problem that human skin is easily overlooked in salient detection process and it will affect the later human body segmentation，we propose an improved salient detection method.Firstly，the algorithm uses the superpixel segmentation method for image segmentation and uses face detection to extract skin color information.Secondly，the skin color information will be integrated into both color uniqueness and color distribution.Finally，we assign the superpixel saliency values to the input image to get a pixel-accurate saliency map.When evaluated using 100 people pictures from publicly available datasets，our method outperforms several existing salient object detection methods with an achieved accuracy of 95％.Through the human body segmentation experiment，the human body can be well separated from the background.The experimental result shows our method is superior to other methods on precision，recall rates and F-measure，and can be a good human body segmentation.
陈佳洲,曾碧,何元烈. 一种应用于静态图像人体分割的显著性检测方法[J]. 小型微型计算机系统, 2016, 37(3): 608-611.
CHEN Jia-zhou,ZENG Bi,HE Yuan-lie. A Salient Detection Method Applied to the Human Body Segmentation in Static Images. Journal of Chinese Computer Systems, 2016, 37(3): 608-611.
2016, Vol. 37 
