DocumentCode
2620419
Title
An Algorithm of Texture Image Segmentation by Piecewise Constant Level Set Method Based on Image Decomposition
Author
Shuai-jie, Li ; Jin-ping, Song ; Xue-cheng, Tai
Author_Institution
Inst. of Appl. Math., Henan Univ., Kaifeng, China
Volume
7
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
163
Lastpage
168
Abstract
The article adopts the image decomposition idea in MS (Mumford-Shah) model, and proposes a new MSWD (Mumford-Shah with Decomposition) model. Based on the model, with the piecewise constant level set method, we propose an image segmentation algorithm. The MSWD model can extract the texture (or noise) in the segmentation, and effectively avoids the influence of unsupervised texture (or noise), also simultaneously enhances the operating speed. Further through the experiments, we testify therationality and validity of the MSWD model and the algorithm.
Keywords
feature extraction; image segmentation; image texture; Mumford-Shah model; feature extraction; image decomposition; piecewise constant level set method; texture image segmentation; Computer science; Computer vision; Educational institutions; Image decomposition; Image segmentation; Information science; Level set; Mathematical model; Mathematics; Solid modeling; Image segmentation; Level Set; Texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.485
Filename
5170302
Link To Document