摘要
通过对现有Pal模糊增强算法的分析,指出其在隶属度函数定义与进行增强处理时渡越点选取时的两个缺陷,针对缺陷分别进行了改进性研究,提出了一种基于目标边缘灰度值的图像模糊增强算法(OEFEA),定义了以目标边缘灰度为均值的正态分布函数为隶属度函数,提出了可根据处理需要自由选取渡越点的处理方法,并最终通过实例将其成功地应用于图像增强处理。
Based on the Pal fuzzy enhancement algorithm study, the two bugs of the algorithm were pointed out. The first one was the definition of the membership function, and the second was the selection of the transition point. Then two bugs were analyzed and improved, and an image enhancement-algorithm based on the edge grey-level （OEFEA） was presented. In this algorithm, the membership function was redefined by normal distribution whose mean value was based on the object edge grey level, and the transition point was selected freely. Finally, the new algorithm was applied to the image enhancement processing successfully.
出处
《弹箭与制导学报》
CSCD
北大核心
2008年第4期196-198,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
模糊增强算法
目标边缘
灰度
fuzzy enhancement algorithm
object edge
grey level
