Unsupervised Texture Segmentation Based on Image Decomposition

Author

Hong-bo, YANG ; Xia, Hou

Author_Institution

Dept. of Inf. Technol. & Commun., Beijing Information Technol. Inst.

fYear

2006

fDate

25-28 June 2006

Firstpage

555

Lastpage

560

Abstract

In this paper, we propose a new image decomposition model devoted to texture segmentation. By coupling some constraint terms in the model, the given textured image is decomposed into a sum of two functions with different basic characteristics. Then the textural feature space is segmented by using level set and active contours technology. Compared with some recent approaches, our method is more convincing and works well for synthetic textured images and ones in the real world

Keywords

computer vision; feature extraction; image segmentation; image texture; active contours technology; image decomposition; level set technology; unsupervised texture segmentation; Active contours; Automation; Image analysis; Image decomposition; Image segmentation; Information technology; Layout; Level set; Space technology; Surface texture; Texture segmentation; active contours; image decomposition; level set;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on

Conference_Location

Luoyang, Henan

Print_ISBN

1-4244-0465-7

Electronic_ISBN

1-4244-0466-5

Type

conf

DOI

10.1109/ICMA.2006.257613

Filename

4026143

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2865467