DocumentCode
443967
Title
Image segmentation based on rough membership function
Author
Min, Dong ; Xiangpeng, Li ; Li, Wang
Author_Institution
Dept. of Math. & Phys., Wuhan Univ., China
Volume
1
fYear
2005
fDate
25-27 July 2005
Firstpage
141
Abstract
A new thresholding algorithm and its multi-threshold extension are presented to improve the performance of image segmentation. The probabilistic rough set is used to describe the objects and backgrounds in image. The optimal threshold is given through a minimum boundary criterion. A new rough membership function is defined in the light of requirements of image thresholding.
Keywords
image segmentation; rough set theory; image segmentation; image thresholding algorithm; minimum boundary criterion; optimal threshold; probabilistic rough set; rough membership function; Image analysis; Image processing; Image segmentation; Information analysis; Mathematics; Physics; Probability; Set theory; Statistical analysis; Testing; Image thresholding; Minimum boundary criterion; Optimal threshold; Probabilistic rough set; Rough membership function;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2005 IEEE International Conference on
Print_ISBN
0-7803-9017-2
Type
conf
DOI
10.1109/GRC.2005.1547253
Filename
1547253
Link To Document