区域可信度融合的彩色纹理图像分割方法

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (10): 2304-2312.

区域可信度融合的彩色纹理图像分割方法

杨勇^1,2, 郭玲¹, 代文征¹, 叶阳东²

1.黄河科技学院信息工程学院,郑州 450063;
2.郑州大学信息工程学院,郑州 450060

收稿日期:2015-05-20 修回日期:2015-09-23 出版日期:2016-10-08 发布日期:2020-08-13
作者简介:杨勇(1983-),男,河南郑州,博士,研究方向为图像分割,模式识别,视觉计算。
基金资助:
国家自然科学基金(U1204610); 国家青年科学基金(61502432); 河南省科技厅重点科技攻关项目(152102210001)

Regional Credible Fusion Based Color-texture Image Segmentation Approach

Yang Yong^1,2, Guo Ling¹, Dai Wenzheng¹, Ye Yangdong²

1. School of Information Engineering, Huang He Science and Technology College, Zhengzhou 450063, China;
2. School of Information Engineering, Zheng Zhou University, Zhengzhou 450060, China

Received:2015-05-20 Revised:2015-09-23 Online:2016-10-08 Published:2020-08-13

摘要/Abstract

摘要： 提出一种将颜色信息与纹理信息有机结合的彩色纹理图像分割方法。通过对多尺度结构张量纹理信息进行奇异值分解与主成分分析降维,得到压缩多尺度纹理信息,同时与尺度信息、颜色信息相结合的方式来提高彩色纹理特征的描述能力。针对分割区域容易出现过分割与错误分割现象,采用区域的邻接关系、区域的大小、区域的公共边、以及区域间的J-散度距离来共同计算相邻区域间的可信融合度,通过合理判别,删除与融合可信度较低的区域。并在合成彩色纹理图像与自然纹理图像上进行大量的实验对比与分析,验证提出方法具有较高的准确率,且最终分割区域具有较高的区域整体性与地面真实性。

关键词: 区域可信融合, 彩色纹理, 图像分割, 多层图割模型

Abstract: An approach is proposed based on the combined color information and texture information for color-texture image segmentation. The compacted multi-scale texture information is extracted by using singular value decomposition and principal component analysis dimension reduction under decomposing the multi-scale structure tensor, and then it is integrated with scale information and color information for improving the description ability to color-texture. To avoid the phenomenon such as over-segmentation and error segmentation appeared, the regional credible fusion degree is computed by combining four kinds of region information, such as region adjacency relationship, region size, common edge between regions, and J-divergence distance. Meanwhile, through the reasonable judgment we can merge and delete some regions which own the lower regional credible fusion degree. Then, a substantial of experiment analysis and comparison are carried out on some synthesis color-texture images and real natural scene images, which demonstrate the superiority of our proposed method, such as the high segmentation accuracy, outperforming visual entirety and closing to ground truth.

Key words: regional credible fusion, color-texture, image segmentation, multilayer graph cut model

中图分类号:

TP391.04

杨勇, 郭玲, 代文征, 叶阳东. 区域可信度融合的彩色纹理图像分割方法[J]. 系统仿真学报, 2016, 28(10): 2304-2312.

Yang Yong, Guo Ling, Dai Wenzheng, Ye Yangdong. Regional Credible Fusion Based Color-texture Image Segmentation Approach[J]. Journal of System Simulation, 2016, 28(10): 2304-2312.

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