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
Link To Document :
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