基于半邻域法的自适应图像边缘提取方法

图像边缘对图像识别和计算机分析十分重要，至今已经提出了大量的各种类型边缘提取算法.该文在半邻域法的基础上提出了一种基于自适应阈值选择的图像边缘提取算法，在判断某一像素点是否在边缘上时，以该像素点为中心，选取3×3的区域为研究对象，求出该区域的最大、最小、均值像素值及标准差，在选用标准差为其阈值的同时，还考虑人的视觉对于灰度分辨能力的限制.最后，对多幅灰色图像进行了边缘提取，结果证实了该文方法的有效性.

Adaptive Edge Detection Using a Half-Neighborhood Algorithm

Edges in image is important for object recognition and computer analysis,and a large number of edge extraction algorithms are available.This paper proposes an improved method on the basis of a half-neighborhood operator.In order to decide whether a pixel belongs to an edge,a 3-by-3 block centered at the pixel is chosen,and the maximum,minimum,mean,and standard deviation are calculated.The standard deviation is used as a threshold value,and at the same time,the ability of human eyes in distinguishing gray-level differences is taken into consideration.Edges in a number of images are extracted using the described method,and the results show validity of the method.