Published in

Trans Tech Publications, Advanced Materials Research, (546-547), p. 553-558, 2012

DOI: 10.4028/www.scientific.net/amr.546-547.553

Links

Tools

Export citation

Search in Google Scholar

Texture Segmentation of Natural Images Based on Active Contour Model

Journal article published in 2012 by Zhan Wang, Yun Hui Yan, De Wei Dong, Ke Chen Song ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Red circle
Preprint: archiving forbidden
Red circle
Postprint: archiving forbidden
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

To segment complex texture natural environment images; the first, the texture features of natural images should be analysed and the texture features should be extracted; The second, texture images segmengtation can be achieved by using Mumford-Shah active contour model, this segmentation model can better process fuzzy, default boundary, and this model can be solved by level set method. This method can express well complex texture signal features of natural images. Through making texture segmentation experiment for standard texture synthesis image and natural environmental image, its results show that the texture segmentation based on Mumford-Shah active contour model can segment natural images.