基于资格函数的模糊边缘检测算法  

Fuzzy Edge-detection Algorithm Based on Qualification-function

作　　者：王水平[1] 李仕强[1] 傅德胜[1] 

机构地区：[1]南京信息工程大学计算机科学与技术系,南京210044

出　　处：《计算机工程》2005年第23期167-168,共2页Computer Engineering

基　　金：南京信息工程大学科研基金资助项目

摘　　要：在分析Pal.King模糊边缘检测算法的基础上,引进资格函数,提出了改进的模糊边缘检测算法。通过实验,确定了各参数的最佳值,降低了算法的复杂度,提高了算法的效率。改进的算法不仅适用于普通图像,而且适用于各种医学图像,有很强的检测模糊边缘和细小边缘的能力。Edge is an important feature of images. Edge-detection is an important part of image processing. Based on the analysis of Pal.King fuzzy edge-detection algorithm, this paper introduces an improved fuzzy edge-detection algorithm based on the qualification-function. The improved algorithm determines the optimal threshold value by experiments, reduces the complication of the Pal.King algorithm and it improves the Pal.King algorithms efficiency. In addition, the improved algotithm not only is applicable for general images, but also is the same with the medical images. This algorithm has powerful ability in detection fuzzy edge and exiguous edge.

关 键 词：Pal.King算法 资格函数 边缘检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP751[自动化与计算机技术—计算机科学与技术]