计算机技术与发展2013，Vol.23Issue(7)：48-51,56,5.DOI:10.3969/j.issn.1673-629X.2013.07.012
基于超像素的Grabcut彩色图像分割
Superpixel-based Grabcut Color Image Segmentation
摘要
Abstract
To overcome the disadvantage of time load for the image segmentation that set up the graph model in pixels,a Grabcut color image segmentation method which is based on the super pixels is proposed in this paper.Firstly,users can calibrate a rectangular box in the target zone manually,then split the'image into small areas of the similar color (super pixels) with the watershed algorithm two times.Set up the graph model using the super pixels as the graph nodes.In order to estimate the value of GMM,use the mean of the super pixels' color value to represent the all pixels in the same area.Finally,get the minimum value of the Gibbs energy with the minimum cut algorithm to achieve the optimal segmentation.Experimental results demonstrate that the new algorithm uses the little super pixels instead of the huge number of pixels.The algorithm achieves the excellent segmentation result in short run time,speeds up the pace of segmentation,enhances the efficiency of the algorithm.关键词
分水岭/超像素/高斯混合模型/分割Key words
watershed/ superpixel/ Gaussian Mixture Model (GMM) / segmentation分类
信息技术与安全科学引用本文复制引用
辛月兰..基于超像素的Grabcut彩色图像分割[J].计算机技术与发展,2013,23(7):48-51,56,5.基金项目
国家自然科学基金资助项目(60963016) （60963016）
教育部"春晖计划"合作项目(z2012100) （z2012100）
青海省科技应用基础研究项目(2013-z-001) （2013-z-001）
