An effective entropic thresholding for ultrasonic images
被引:20
作者:
Lu, W
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R ChinaChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Lu, W
[1
]
Ma, SD
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R ChinaChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Ma, SD
[1
]
Lu, HQ
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R ChinaChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Lu, HQ
[1
]
机构:
[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
来源:
FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2
|
1998年
关键词:
D O I:
10.1109/ICPR.1998.712005
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
A new entropy-based thresholding is presented in this paper As a result, a gray level minimizing the difference between the entropy of the object and that of the background will be the desired threshold. Performance of the proposed method has been tested on some ultrasonic images. The results obtained from the method proposed by Kapur et al, are also given for comparison.