改进的二维Otsu自动分割算法及其应用研究  

Improved two-dimensional Otsu algorithm and its application

作　　者：肖艳炜[1] 张云[2] 

机构地区：[1]浙江大学计算机科学与技术学院,杭州310027 [2]国防科学技术大学机电工程与自动化学院,长沙410073

出　　处：《计算机工程与应用》2007年第7期243-245,共3页Computer Engineering and Applications

摘　　要：针对传统二维阈值分割算法处理胃腺癌细胞显微图像计算时间长、噪声干扰严重等缺点,提出了一种改进的二维快速Otsu阈值自动分割算法。该算法通过改变二维直方图判别域的划分,快速得到最优阈值近似值,并通过引入松弛变量,估计最优阈值所在范围,加大阈值搜索步进值,最后得到最优阈值。实验结果表明,该算法能有效地减少细胞核粘连现象,大大减少了处理时间。Applying traditional two-dimensional Otsu threshold algorithm in Gastric Adenocarcinoma Cell Image is not ideal,it is long-paying computation and has too much noise.So this paper presents an improved two-dimensional Otsu threshold automatic segmentation algorithm.The algorithm gets the optimization threshold value approximately by using new area partition method.And importing relaxant variable,enlarging the searching step of threshold,and then gaining optimization threshold value at last.The experimental result has demonstrated that the algorithm can overcome more noise and pay less computational time than the traditional one.

关 键 词：二维OTSU法 最优阙值 松弛变量 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]