摘要
最大类间方差法 (Ostu法 )因其计算简单、自适应强 ,而成为使用最为广泛的图像阈值自动选取方法之一。在分析该方法的基础上 ,提出了一种针对红外图像的改进的Ostu法。实验结果表明 ,本文提出的方法可以完整。
Because of simple computation and well adaptation, the Method of Maximum Classes Square Error(Method of Ostu) becomes one of the most popular method of thresholding selection. Based on the analysis of Ostu method, an improved method of Ostu for infrared image is proposed here. Experiments show that infrared targets with multi-level gray characteristic can be segmented out of complex background completely and rapidly by the method.
出处
《红外技术》
CSCD
北大核心
2003年第5期33-36,共4页
Infrared Technology
关键词
最大类间方差法
图像阈值
红外图像
图像分割
image segmentation, threshold selection, the method of maximum classes square error
