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
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;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.11
