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
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;
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
DOI :
10.1109/IEMBS.1989.95797
