Regional Credible Fusion Based Color-texture Image Segmentation Approach

Authors

Yang Yong, 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;
Guo Ling, 1. School of Information Engineering, Huang He Science and Technology College, Zhengzhou 450063, China;;
Wenzheng Dai, 1. School of Information Engineering, Huang He Science and Technology College, Zhengzhou 450063, China;;
Yangdong Ye, 2. School of Information Engineering, Zheng Zhou University, Zhengzhou 450060, China;

Abstract

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.

Recommended Citation

Yong, Yang; Ling, Guo; Dai, Wenzheng; and Ye, Yangdong (2020) "Regional Credible Fusion Based Color-texture Image Segmentation Approach," Journal of System Simulation: Vol. 28: Iss. 10, Article 3.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/3

First Page

2304

Revised Date

2015-09-23

DOI Link

https://doi.org/

Last Page

2312

CLC

TP391.04

Recommended Citation

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.