摘要
提出了一种新的自动阈值图像分割方法 ,该方法将图像分成两个类 ,当类间方差与类内方差的分离度最大时即为最佳阈值。
This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and intraclass variance is the maximal..Experimental results show this new approach can segment images automatically and quickly.
出处
《机械》
2003年第4期34-35,38,共3页
Machinery