福州大学学报（自然科学版）2018，Vol.46Issue(2)：178-185,8.DOI:10.7631/issn.1000-2243.17124
基于局部直方图信息的相似图像组分割模型
The model for segmenting group of similar images based on local histogram information
摘要
Abstract
Aiming at solving the problem that ACGS model cannot effectively segment the group of similar images with texture changes,this paper proposes a co-segmentation model based on image local histogram information.The energy function of the proposed model consists of two items,one is the item based on image local histogram information,reflecting the texture information of each image in group of similar images;the other one is represented by the rank of the matrix consisting of multiple shapes,used to control the similarity of object shapes.And each column of the shape matrix represents an image in the image group.In addition,we get the initial contours of the proposed model by using CV model on images SUN saliency maps,which increases the robustness of the ACGS model against initial contours.The experimental results show that the proposed model has a better performance on the segmenting result than the ACGS model,for the group of similar images with textured change.关键词
协同分割/相似图像组/局部直方图/ACGS模型/SUN显著图Key words
co-segmentation/similar images group/local histogram/active contours with group similarity model/saliency using natural statistics分类
信息技术与安全科学引用本文复制引用
李欢丽,徐海平,王美清..基于局部直方图信息的相似图像组分割模型[J].福州大学学报（自然科学版）,2018,46(2):178-185,8.基金项目
福建省自然科学基金资助项目(2015J01013) （2015J01013）
