自适应阈值分割的图像边缘检测方法研究  

Adaptive Thresholds Edge Detection for Image Based on Segmentation

作　　者：高岚[1] 廖云良[1] 朱波华[1] 李俊[1] 周金勇[1] 

机构地区：[1]武汉理工大学,武汉430063

出　　处：《交通与计算机》2007年第5期73-76,共4页Computer and Communications

摘　　要：边缘是图像视觉中的一种重要信息,是图像最基本的特征之一。在边缘检测过程中为了消除传统分水线算法引起的过分割现象,给出了一种新的过分割区域合并算法,该方法能把复杂的目标图像分割成为一系列反映目标基本结构特征的简单区域。然后利用轮廓提取算法去除图像内部的像素点,经最后处理得到的部分即是图像的边缘。The edge is an important feature that human vision recognizes image target. Edge is also one of the most fundamental character of a image. In order to eliminate the over-segmentation of traditional watershed, a new merge algorithm of over segment regions was proposed in edge detection. This method could effectively segment the target with the complicated nature background to a series of simple domain, which constructed the fundamental structure of the object. Then, an contour extraction algorithm was used to remove the inner pixel of image, and the last part was image edge.

关 键 词：水线阈值 轮廓提取 边缘检测 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]