摘要
本文主要研究了受噪声污染图像的边缘提取问题 ,提出了一种基于统计学原理的边缘检测算法。该算法首先假定滤波窗内像素为平坦区或二值区 ,然后根据滤波窗内像素的局部统计特性将此窗内其中一个像素值估计出来 ,再根据统计学原理[1] [2 ] 将另一个像素值估计出来 ,最后将窗内的像素变换成这两个像素值来判断是否存在边缘。计算机模拟表明 ,此种方法有较好的抗噪能力 。
This paper mainly studies the problem of edge detection of images corrupted by noises.An algorithm of edge detector based on statistics is presented.The algorithm firstly supposes that the area in the window is smooth or has only two values,and then estimates the value that is in the major in the window according to the local statistical property of the values in the window,and estimates the other value by the principle of statistics;lastly, transforms the values in the window to the new value to decide if a edge is existed.It is showed by the computer simulations that the algorithm has good ability of resisting noise and the computation is simple.
出处
《电子测量与仪器学报》
CSCD
2000年第1期1-6,共6页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金资助项目! 6 9772 0 41号
高校博士点基金! 980 0 5 6 0 1号
