节点文献
一种基于模糊熵和遗传算法的图像分割方法
A Method of Gray-scale Image Thresholding Based on Fuzzy Entropy and Genetic Algorithm
【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.
【Abstract】 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.
【关键词】 图像分割;
阈值;
C组分类;
熵;
模糊C组分类熵;
遗传算法;
【Key words】 image segmentation; thresholding; C partition; entropy; fuzzy C partition entropy; genetic algorithm;
【Key words】 image segmentation; thresholding; C partition; entropy; fuzzy C partition entropy; genetic algorithm;
【基金】 国家自然科学基金!(69875009)
- 【文献出处】 上海大学学报(自然科学版) ,Journal of Shanghai University(Natural Science Edition) , 编辑部邮箱 ,1999年06期
- 【分类号】TP391.4
- 【被引频次】6
- 【下载频次】161