基于改进的模糊边缘检测算法的应用研究  

Application Research Based on Improved Fuzzy Edge Detection Algorithm

作　　者：周紫微 ZHOU Ziwei(School of Statistics and Data Science,Xinjiang University of Finance and Economics,Urumqi 830012,China)

机构地区：[1]新疆财经大学统计与数据科学学院,新疆乌鲁木齐830012

出　　处：《太原学院学报（自然科学版）》2021年第3期71-74,共4页Journal of TaiYuan University:Natural Science Edition

摘　　要：通过对Pal和King模糊边缘检测算法的分析,提出了一种改进的快速模糊边缘检测算法。定义了新的隶属度函数,弥补了Pal和King算法固定取阀值的不足。不仅对图像进行模糊增强和边缘平滑处理,还实现“Min”算子和“Max”算子综合使用提取边缘。实验结果表明,改进算法能够有效提取图像的边缘,特别是在提取对比度不高的图像时具有良好的效果,具有一定的实用价值。Through the analysis of Pal and King fuzzy edge detection algorithms,an improved fast fuzzy edge detection algorithm is proposed.A new membership function is defined to make up for the lack of fixed thresholds in Pal and King algorithms.It not only performs blur enhancement and edge smoothing processing on the image,but also realizes the comprehensive use of“Min”operator and“Max”operator to extract edges.Experimental results show that the algorithm can effectively extract the edges of images,especially images with low contrast.Therefore,it has certain practical value.

关 键 词：模糊集 边缘检测 隶属函数 图像增强 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]