DocumentCode
2019103
Title
A Thresholding Algorithm Based on Probabilistic Rough Set for Image Segmentation
Author
Dong, Min ; Jiang, HuiRong ; Xiang Peng Li
Author_Institution
Acad. of Sci., Wuhan Univ. of Sci. & Eng., Wuhan
Volume
1
fYear
2008
fDate
17-18 Oct. 2008
Firstpage
13
Lastpage
16
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 portray 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
fuzzy set theory; image segmentation; probability; rough set theory; image segmentation; image thresholding algorithm; minimum boundary criterion; probabilistic rough set; rough membership function; Algorithm design and analysis; Computational intelligence; Design engineering; Image analysis; Image processing; Image segmentation; Pixel; Probability; Set theory; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3311-7
Type
conf
DOI
10.1109/ISCID.2008.11
Filename
4725546
Link To Document