DocumentCode :
3090275
Title :
Segmentation of ultrasound image based on morphological operation and fuzzy clustering
Author :
Liu, Haihua ; Xie, Changsheng ; Chen, Zhouhui ; Lei, Yi
Author_Institution :
Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., China
fYear :
2006
fDate :
17-19 Jan. 2006
Abstract :
This paper presents a system for segmentation of ultrasound images. The system consists of two parts: local contrast enhancement and segmentation. The scheme for enhancing local contrast of images without speckle noise emphasis based on multiscale morphology is presented in the system. The intensity values of the scale-specific features of the image extracted using multiscale transformation are modified so as to enhance local contrast and suppress noise. Then, a new algorithm, called an alternative fuzzy c-mean (AFCM), is used for segmentation of ultrasound image. The unsupervised segmentation algorithm can help further to reduce the ultrasound imaging noise effects originating from the structures. We demonstrate effectiveness of the system for ultrasound image segmentation in experiments.
Keywords :
fuzzy systems; image enhancement; image segmentation; pattern clustering; ultrasonic imaging; alternative fuzzy c-mean; fuzzy clustering; image extraction; image segmentation; local contrast enhancement; morphological operation; multiscale morphology; multiscale transformation; scale-specific features; ultrasound image; Biomedical imaging; Educational institutions; Filters; Fuzzy systems; Gray-scale; Image segmentation; Morphological operations; Morphology; Speckle; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Design, Test and Applications, 2006. DELTA 2006. Third IEEE International Workshop on
Print_ISBN :
0-7695-2500-8
Type :
conf
DOI :
10.1109/DELTA.2006.78
Filename :
1581246
Link To Document :
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