摘要: 比较了几种常用的动态阈值二值化方法,并在此基础上提出了一种新的基于均值和方差的二值化方法。试验表明,这种方法能够较好地区分物体和背景,并且相对于原来的逐点进行二值化的方法而言大大提高了处理速度。
关键词:
二值化方法,
数学期望,
方差
Abstract: In this paper, several widely used binarization methods are studied and compared, and a new binarization method that is based on mean and standard deviation of a given image is proposed. Experiments show that this method can distinguish the object and the background perfectly, and being compared to the method that calculates a threshold for each pixel and binarizes the pixel one by one, the proposed method can improve the processing speed greatly.
中图分类号:
龙钧宇,金连文. 一种基于全局均值和局部方差的图像二值化方法[J]. , 2004, 30(02): 70-72.
LONG Junyu,JIN Lianwen. An Image Binarization Method Based on Global Mean and Local Standard Deviation[J]. , 2004, 30(02): 70-72.