基于局部图像锐化的自适应模糊边缘检测算法

Adaptive Fuzzy Edge Detection Algorithm based on Local Image Sharpening

为了准确检测出模糊边缘的位置 ,对用小尺度滤波器检测模糊边缘时噪声影响检测效果的原因进行了分析 ,依据这些噪声点在模糊边缘附近的统计分布规律 ,提出了一种用于图像锐化的阈值计算方法 ,算法自适应地计算图像不同区域对应的图像锐化阈值 ,并用这个值来锐化模糊边缘图像 ,实现对模糊边缘的准确提取。实验结果证明该算法能有效去除模糊边界处的干扰点 。

In order to accurately locate the fuzzy edge,the reason that over much noises are introduced as using small scale filters to detect the fuzzy edge are analyzed in this paper.Based on the distribution rule of the noises,a calculative method for the threshold that used for image sharpening is presented.The fuzzy edge in local image can be sharpened according to the calculated threshold and the edge can be detected as well.This algorithm can effectively eliminate the noises appear around the fuzzy edge and improve the ability of small scale filters to dectect the fuzzy edge.The experimental results have proved that the algorithm is an effective approach to detect the fuzzy edge.