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.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第7期243-245,共3页
Computer Engineering and Applications
关键词
二维OTSU法
最优阙值
松弛变量
two-dimensional Otsu algorithm
optimization threshold
relaxant variable
