灰度图象的二维Otsu自动阈值分割法  

THE AUTOMATIC THRESHOLDING OF GRAY-LEVEL PICTURES VIA TWO-DIMENSIONAL OTSU METHOD

作　　者：刘健庄[1] 栗文青 

机构地区：[1]西安电子科技大学,西安710071

出　　处：《自动化学报》1993年第1期101-105,共5页Acta Automatica Sinica

摘　　要：Otsu法是最常用的利用图象一维灰度直方图的阈值化方法之一,本文的目的是将它推广到二维直方图。二维Otsu法除了考虑象素点的灰度信息外还考虑了象素点与其邻域的空间相关信息。通过与一维的Otsu法比较表明,在有噪声的图象中,本文提出的方法性能好得多。One of the most useful thresholding techniques using gray-level histogram of an image is the OTSU method. The objective of this paper is to extend it to the 2-dimensional histogram. The 2-dimensional OTSU method utilizes both the gray level information of each pixel and its spatial correlation information within the neighborhood. The comparison between this method and the 1-dimensional OTSU method show that this method performs much better when the images are corrupted by noise.

关 键 词：图象分割 灰度图象 阈值化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]