电子学报2016，Vol.44Issue(6)：1349-1354,6.DOI:10.3969/j.issn.0372-2112.2016.06.013
基于区域限制的EM和图割的非监督彩色图像分割方法
An Unsupervised CoIor I mage Seg mentation Method Based on Region-constrained EM and Graph cuts
摘要
Abstract
A new unsupervised color segmentation method based on region-constrained EM (Expectation Maximiza-tion)and graph cuts is proposed,which can automatically determine the number of segments for a color image.The pro-posed method first obtains the superpixels of the image and extracts CIE Lab color feature and multi-scale quaternion Gabor filter feature.In order to automatically and efficiently determine the number of segments for the image and avoid the problem caused by using superpixels directly,a window is used to sample each superpixel to obtain a pixel subset which represents the superpixel.Then the feature space of the sampled pixel subsets is modeled with Gaussian mixture model,and the model parameters (including the number of components)are obtained by a region-constraint component-wise EM algorithm.Final-ly,the segmentation result can be obtained by α-expansion with the learned model parameters.Experimental results demon-strate the good performance of the proposed method.关键词
彩色图像分割/区域限制/超像素/分量EM/图割Key words
color image segmentation/region constraint/superpixel/component-wise EM/graph cuts分类
信息技术与安全科学引用本文复制引用
李磊,董卓莉,张德贤,费选..基于区域限制的EM和图割的非监督彩色图像分割方法[J].电子学报,2016,44(6):1349-1354,6.基金项目
河南省教育厅自然科学项目（No．13A520177，No．15A520057）；河南省科技厅自然科学项目（No．132102210494）；高层次人才基金 （）
