TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 14, No 1: March 2016

Robust Image Segmentation Using LBP Embedded Region Merging

Jie Zhang (Chinese Academy of Sciences)
Chengjun Xie (Chinese Academy of Sciences)
Liangtu Song (Chinese Academy of Sciences)
Rui Li (Chinese Academy of Sciences)
Hongbo Chen (Chinese Academy of Sciences)



Article Info

Publish Date
01 Mar 2016

Abstract

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index. The region merging algorithm by the maximal similarity with color histogram has been applied successfully in color image segmentation. However, only using color histogram information is not sufficient and effective for superior segmentation. We propose a novel color image segmentation method based on region merging by using joint color-texture histogram in this paper. The proposed method incorporates both color histogram and texture histogram information to measure the similarity of different regions and thus to guide the region merging process. Experiments show that our method is more accurate and robust than traditional image segmentation methods based on region merging.

Copyrights © 2016






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...