基于局部最大方差比的自适应边缘检测算法

Automatic Adaption of Edge Detection Based on the Local Biggist Proportion of Squase Deviations

本文提出一种新的边缘检测算法。对子图像进行局部直方图计算 ,由最大方差比例阈值确定方法计算出子图像的最佳阈值。根据局部直方图中波峰数决定是否增强子图像中被最佳阈值划分出的低灰度区域和高灰度区的对比度。然后对已经选择性对比增强的图像进行边缘检测。实验证明图像的区域层次更清楚 ,提取的边缘细节也更丰富。自适应算法则最大限度地突出了边缘而同时保持了图像中相近灰度级的平滑性和连续性。

This paper presents a new method for detection of the edges.Every child image of the local regions is calculated,and the best threshold value of child image with the method of the biggist proportion of squase deviations is calculated.Whether increase the contrast among the regions which are divided by the best threshold value is determined by the number of wave crests.And then we detect edge of the whole partly enhanced child images.The experiment proves that the areas of the full image has more plain arrangement and more abundant details of the edges.Automatic adaption method stands out the edges furthest and at the same time retains the smoothness and continuity of the near grays in the image.