摘要
图像阈值分割技术在图像分析和图像识别中具有重要意义.作者将模糊数学理论和遗传算法结合在一起,利用最大模糊C组分类熵原则确定分割阈值.该方法可以将图分成两类或多类.实验结果表明该方法是有效的.
Image thresholding is one of important methods for image analysis and recognition. This paper proposes a method of gray scale image thresholding based on the combination of fuzzy entropy and genetic algorithm. This method can be used for bi level and multilevel image thresholding. The experimental results demonstrate that the proposed method can be used to select the thresholds automatically and efficiently.
出处
《上海大学学报（自然科学版）》
CAS
CSCD
1999年第6期481-485,共5页
Journal of Shanghai University:Natural Science Edition
基金
国家自然科学基金!(69875009)
关键词
图像分割
阈值
遗传算法
模糊熵
图像识别
image segmentation
thresholding
C partition
entropy
fuzzy C partition entropy
genetic algorithm
