DocumentCode :
1807628
Title :
A new adaptive morphological algorithm for contour extraction on ultrasound image
Author :
Li, Dandan ; Shen, Yi ; Liu, Zhiyan ; He, Ping
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., China
Volume :
3
fYear :
2004
fDate :
18-20 May 2004
Firstpage :
2077
Abstract :
This paper describes a new adaptive algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.
Keywords :
biomedical ultrasonics; feature extraction; fuzzy set theory; image enhancement; mathematical morphology; medical image processing; 4-segment function; adaptive morphological algorithm; contour extraction; fuzzy sets theory; image contour; image enhancement; image quality; medical images; morphological image processing; ultrasound image; Biomedical imaging; Data mining; Electromagnetic interference; Gray-scale; Image processing; Information filtering; Information filters; Low pass filters; Speckle; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
ISSN :
1091-5281
Print_ISBN :
0-7803-8248-X
Type :
conf
DOI :
10.1109/IMTC.2004.1351498
Filename :
1351498
Link To Document :
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