DocumentCode
1668467
Title
Texture segmentation of ultrasound B -scan image by sum and difference histograms
Author
Jianchao, Wu ; Mengyang, Lido ; Sixian, Wang
Author_Institution
Dept. of Radio & Inf. Eng., Wuhan Univ., China
fYear
1989
Firstpage
417
Abstract
A technique is described for segmenting B -scan images to extract a tissue signature by texture analysis. Gray-level sum and difference histograms are used to extract texture features. A K -mean clustering algorithm is used to partition the B -scan image into homogeneous zones of texture. The performance of the method is tested by the analysis of natural texture and abdominal images
Keywords
acoustic imaging; biomedical ultrasonics; patient diagnosis; picture processing; K-mean clustering algorithm; abdominal images; difference histograms; gray-level histograms; homogeneous zones; medical diagnostic imaging; natural texture; sum histograms; texture segmentation; tissue signature; ultrasound B-scan image; Clustering algorithms; Feature extraction; Histograms; Image analysis; Image segmentation; Image texture analysis; Partitioning algorithms; Performance analysis; Testing; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/IEMBS.1989.95797
Filename
95797
Link To Document