DocumentCode
2157295
Title
Improved segmentation algorithm of pixel texture used in complex image
Author
Hong, Zhu ; Guoying, Zhang
Author_Institution
Dept of Computer Science and Technology, China University of Mining & Technology, Beijing, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
6666
Lastpage
6669
Abstract
When Image feature extracted from the sub-block in image is used in object segmentation, it can cause object boundary inaccurate. Texture feature extracting algorithm based on every pixel is purposed in the paper. After the pixel texture feature is standardized and reduced dimension by PCA, it is clustered by hierarchical method. Improved segmentation algorithm segments the complex image into different objects. Compared with the traditional methods such as threshold method, Sobel method and so on, the segmentation boundary is accurate, and the phenomenon of under-segmentation and over-segmentation also reduce significantly.
Keywords
Clustering algorithms; Computer science; Computers; Feature extraction; Image segmentation; Object segmentation; Pixel; cluster; co-occurrence matrix; exture feature; image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691615
Filename
5691615
Link To Document