TY - JOUR
T1 - Regularized color clustering in medical image database
AU - Li, C. H.
AU - YUEN, Pong Chi
N1 - Funding Information:
Manuscript received March 2, 2000; revised August 2, 2000. This work was supported in part by the Hong Kong Baptist University under a Science Faculty Research Grant. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was M. W. Vannier. Asterisk indicates corresponding author. *C. H. Li is with the Department of Computer Science, Hong Kong Baptist University, Hong Kong (e-mail: [email protected]).
PY - 2000/11
Y1 - 2000/11
N2 - A regularized color clustering algorithm is proposed to solve the color clustering problem in medical image database. By incorporating both measures of cluster separability and cluster compactness, regularized color clustering allows the automatic extraction of significant color groups with varying populations. Experimental results in different color spaces show that the regularized color clustering gives superior results in extracting significant distinct/abnormal color clusters without significant increases in cluster compactness. Furthermore, results of color clustering in different color spaces show that the LUV color space is more suitable for color clustering. Methods for selecting the regularization constants have also been suggested.
AB - A regularized color clustering algorithm is proposed to solve the color clustering problem in medical image database. By incorporating both measures of cluster separability and cluster compactness, regularized color clustering allows the automatic extraction of significant color groups with varying populations. Experimental results in different color spaces show that the regularized color clustering gives superior results in extracting significant distinct/abnormal color clusters without significant increases in cluster compactness. Furthermore, results of color clustering in different color spaces show that the LUV color space is more suitable for color clustering. Methods for selecting the regularization constants have also been suggested.
UR - http://www.scopus.com/inward/record.url?scp=0034310509&partnerID=8YFLogxK
U2 - 10.1109/42.896791
DO - 10.1109/42.896791
M3 - Journal article
C2 - 11204852
AN - SCOPUS:0034310509
SN - 0278-0062
VL - 19
SP - 1150
EP - 1155
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 11
ER -