Title :
Segmentation of Medical Image Based on Grey Relational Analysis
Author :
Zhu, WeiFeng ; Li, Junli ; Chen, Gang
Author_Institution :
Coll. of Inf. Sci. & Eng., NingBo Univ., Ningbo, China
Abstract :
In this paper, We present a novel segmentation technique which is based on Grey relational analysis of Grey system theory. According to global and local inter-pixel correlation, we can extract region of interest from original images. The experimental results show that our algorithms can effectively extract the target area, and has strong anti-noise capability, this new method is simple, fast, and works well for some images.
Keywords :
bioinformatics; grey systems; image segmentation; grey correlation degree; grey relational analysis; grey system theory; image segmentation; region growing; Biomedical engineering; Biomedical imaging; Clustering algorithms; Educational institutions; Image analysis; Image segmentation; Information analysis; Information science; Pixel; Statistics;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5516332
