一种从噪声图像中提取边缘的启发式搜索算法  

A Novel Heuristic Search Algorithm for Edge Extraction in Noise Image

作　　者：董银文[1] 郭雷[2] 姚俊[2] 

机构地区：[1]海军工程大学电子工程学院,武汉430033 [2]西北工业大学自动化学院,西安710072

出　　处：《模式识别与人工智能》2006年第1期14-19,共6页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金(No.60175001)

摘　　要：提出一种在噪声图像中基于边缘分段自增强的启发式边缘搜索算法.首先对噪声图像进行小尺度高斯滤波;再使用本文设计的新型边缘检测算子获取引导信息,此边缘检测算子在定位精度、抑制噪声和虚假边缘方面具有较好的性能;然后对各搜索轨迹进行分段自增强;最后根据自增强累积的程度获取噪声图像的边缘.实验结果表明:此算法能够有效地从噪声图像中提取物体的真实边缘,并能最大限度地保留细节信息,其性能优于经典的 Can-ny 算子.A novel heuristic search algorithm based on sub-edge self-reinforce for edge extraction in noise image is proposed in this paper. Firstly, The noise image is filtered by a small Scale Gaussian Filter. Then a new Large Template Edge Detector is designed in order to get more accurate leading information, and the corresponding search trajectories are self-reinforced according to this information . Finally , the real edge of noise image is extracted according to the accumulated degree of self - reinforces . The new Large Template Edge Detector has good performance in orientation precision, noise resistance and false edge. Experimental results on image with noise demonstrate better performance of the proposed method , which keeps more image details in extracting real edges of objects, compared with the classical methods, especially Canny Operator.

关 键 词：边缘提取 边缘检测算子 分段自增强 启发式搜索 CANNY算子 小尺度高斯滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]