计算机技术与发展2011，Vol.21Issue(12)：246-249,4.
GrabCut在人体序列切片图像分割中的应用
Application of GrabCut in Human Serially Sectioned Image Segmentation
摘要
Abstract
Applying the GrabCut algorithm in human serially sectioned image segmentation can solve the problems of complicated operation and tow efficiency in manual segmentation. Based on the essential principle GrabCut, select serial images of kidney from visible Korean human data set and apply the GrabCut algorithm to achieve renal segmentation. It' s implemented in VRKidney platform which is developed under the conditions of Visual C++, the function of modification and segmenting multiple objects in one image are also finished, and the efficiency of the algorithm is proved by comparing with manual method and bound extraction method. The research shows that GrabCut algorithm is easy to operate, high-efficiency to segmentation and can excellently complete segmentation.关键词
GrabCut/图像分割/韩国人体数据集Key words
GrabCut/image segmentation/visible Korean human data sets分类
信息技术与安全科学引用本文复制引用
李嘉刚,李小宁,石杰,庄敏,陈戈..GrabCut在人体序列切片图像分割中的应用[J].计算机技术与发展,2011,21(12):246-249,4.基金项目
国家自然科学基金项目(60873170) （60873170）
教育部博士点基金课题(200804230003) （200804230003）
