摘要
为解决低信噪比灰度图象的二值化处理问题,该文根据灰度图象的象素点灰度,及其邻域灰度分布特点,提出了三级阈值分割方法,理论分析与实验结果表明,该二值化方法具有更强的抗噪声能力,更好的图象分割效果。
To resolve the image segmentation problem under the condition of low SNR,this paper presents a three-level image segmentation algorithm based on the gray-level of each pixel and the average gray-level value of its neighbor-hood.Experimental results and theoretical analysis show that one can obtain better segmentations of image with low sig-nal to noise by using this approach.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第21期52-53,共2页
Computer Engineering and Applications
基金
国家自然科学基金重点项目(编号:60134010)
