Title :
Genetic approach to select wavelet features for contour extraction in medical ultrasonic imaging
Author_Institution :
Dept. of Electr. Eng., Chung Gung Coll. of Med. & Technol., Tao-Yuan, Taiwan
fDate :
11/7/1996 12:00:00 AM
Abstract :
An efficient and robust approach, which is based on wavelet transform (WT), is proposed for contour extraction for medical ultrasonic images having low signal-to-noise ratio. Furthermore the best wavelet features for profile analysis is estimated by GAs without manual operation. No image preprocessing is needed, so computation time is fast. Experimental results to confirm the proposed algorithm are also included
Keywords :
biomedical ultrasonics; feature extraction; genetic algorithms; medical image processing; wavelet transforms; GAs; computation time; contour extraction; genetic approach; image preprocessing; medical ultrasonic imaging; profile analysis; signal-to-noise ratio; wavelet features; wavelet transform;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19961434
