FUZZY ENTROPY THRESHOLD APPROACH TO BREAST-CANCER DETECTION

被引:66
作者
LI, XQ [1 ]
ZHAO, ZW [1 ]
CHENG, HD [1 ]
机构
[1] UTAH STATE UNIV,DEPT COMP SCI,LOGAN,UT 84322
来源
INFORMATION SCIENCES-APPLICATIONS | 1995年 / 4卷 / 01期
关键词
D O I
10.1016/1069-0115(94)00019-X
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Thresholding plays an important role in image processing. To select a suitable threshold requires some criteria on which to base the selection. A criterion of maximum fuzzy entropy is developed for selecting the threshold. In this algorithm, the degree of ambiguity in an image is measured by the entropy of a fuzzy set. The threshold is selected by maximizing the fuzzy entropy of the image. The effectiveness of the algorithm is demonstrated for different bandwidths of the membership functions using noisy and vague microscopic-slide breast cancer images. The results show that this method is useful for breast cancer detection. Moreover, this method can be applied to a wide range of image processing applications.
引用
收藏
页码:49 / 56
页数:8
相关论文
共 14 条
[1]  
[Anonymous], 1989, FUNDAMENTALS DIGITAL
[2]   TUMOR DETECTION IN RADIOGRAPHS [J].
BALLARD, D ;
SKLANSKY, J .
COMPUTERS AND BIOMEDICAL RESEARCH, 1973, 6 (04) :299-321
[3]   HISTOLOGICAL GRADING AND PROGNOSIS IN BREAST CANCER - A STUDY OF 1409 CASES OF WHICH 359 HAVE BEEN FOLLOWED FOR 15 YEARS [J].
BLOOM, HJG ;
RICHARDSON, WW .
BRITISH JOURNAL OF CANCER, 1957, 11 (03) :359-&
[4]  
BREZDEK JC, 1992, FUZZY MODELS PATTERN
[5]  
CHENG HD, 1991, 4TH ANN IEEE C COMP
[6]   IMAGING TECHNIQUES IN BREAST-CANCER [J].
DERSHAW, DD ;
OSBORNE, M .
SEMINARS IN SURGICAL ONCOLOGY, 1989, 5 (02) :82-93
[7]  
ELSTON CW, 1982, BRIT J CANCER, V45, P361
[8]  
Gonzalez R., 1992, R WOODS DIGITAL IMAG
[9]  
HUMPHREY LL, 1989, PRIMARY CARE, V16
[10]  
LI X, 1994, 12TH INT C PATT REC