Title :
Unsupervised Texture Segmentation Based on Image Decomposition
Author :
Hong-bo, YANG ; Xia, Hou
Author_Institution :
Dept. of Inf. Technol. & Commun., Beijing Information Technol. Inst.
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;
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
DOI :
10.1109/ICMA.2006.257613
