DocumentCode
1620884
Title
Method of Reducing Dimensions of Segmentation Feature parameter Applied to Skin Erythema Image Segmentation
Author
Shang, Keke ; Ying, Liu ; Hai-jing, Niu ; Yu-fu, Liu
Author_Institution
Coll. of Sci., Tianjin Univ.
fYear
2006
Firstpage
3422
Lastpage
3424
Abstract
In this paper we discussed the method to reduce dimensions of segmentation feature applied to skin erythema image segmentation. Basing on analyzing a lot of erythema images, we proposed a new segmentation feature parameter applied to skin erythema image segmentation. At last, by using the fuzzy-c-means cluster arithmetic, we compared the segmentation speed and segmentation effect of adopting different segmentation features parameter and found that the segmentation result by using the new segmentation feature parameter is better
Keywords
arithmetic; biomedical optical imaging; diseases; fuzzy set theory; image segmentation; medical image processing; skin; dimension reduction; fuzzy-c-means cluster arithmetic; image segmentation; segmentation feature parameter; skin erythema; Arithmetic; Diseases; Electromagnetic compatibility; Image analysis; Image color analysis; Image processing; Image segmentation; Laboratories; Pixel; Skin;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1617213
Filename
1617213
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