DocumentCode :
2983705
Title :
Simultaneous Textured Image Decomposition and Discrimination Preserving Large-Scale Structure
Author :
Shahidi, R. ; Moloney, C.
Author_Institution :
Fac. of Eng. & Appl. Sci., St. John´´s, Nfld.
fYear :
2006
fDate :
Aug. 2006
Firstpage :
343
Lastpage :
348
Abstract :
In their pioneering paper on image decomposition, Vese and Osher (2003) used the auxiliary texture components g1 and g2 for the purposes of texture discrimination. This was done sequentially - first decomposition was performed, after which either |g 1| or |g2| was used for the discrimination phase, which utilized active contours without edges (T. Chan and L. Vese, 1999). With the new simultaneous discrimination and decomposition scheme introduced in the present paper, fewer iterations are required for both the discrimination and decomposition processes, with improved quality of results. In accomplishing this parallel solution of the two problems, we also introduce an active contour model which is robust to noise and which relies both on region and local edge information
Keywords :
image texture; auxiliary texture components; discrimination preserving large-scale structure; information technology; local edge information; texture discrimination; textured image decomposition; Active contours; Active noise reduction; Humans; Image decomposition; Image denoising; Image segmentation; Information technology; Large-scale systems; Noise robustness; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9753-3
Electronic_ISBN :
0-7803-9754-1
Type :
conf
DOI :
10.1109/ISSPIT.2006.270823
Filename :
4042265
Link To Document :
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