摘要
鉴于图像增强技术在生活应用中的重要性,模糊技术在图像应用中的实用性和广泛性,提出了一种基于三角隶属函数和模糊熵的新的图像增强算法(T-FE增强算法),使用三角函数作为隶属函数,重构参数型对比增强算子,运用模糊熵最大原则选取阈值,计算快速,简单.并且将T-FE算法运用于图像分割,边缘检测.通过实验仿真表明,T-FE算法在进行图像处理时有较好效果.
In view of the importance of the image enhancement technology in application and life , the practicality and extensiveness of fuzzy techniques in image processing , In this paper , we propose a new enhancement Mgorithm based on triangular membership function with fuzzy entropy（i.e. ,T-FE enhancement algorithm）, and we use trigonometric function as the membership function ,reconstruction parameters-contrast enhancement operator while selecting the threshold by the principle fuzzy entropy of maximizing, which is fast and simple .Meanwhile we apply the T-FE algorithm to image segmentation, edge detection . Numerical Simulation results indicate that the T-FE algorithm can get a better results in image processing.
出处
《数学的实践与认识》
CSCD
北大核心
2012年第19期113-120,共8页
Mathematics in Practice and Theory
基金
国家自然科学基金(61070234
61071167)
关键词
模糊技术
模糊熵
图像增强
图像分割
边缘检测
fuzzy technology
fuzzy entropy
image enhancement
image segmentation
edge detection
