摘要
文章提出了一种基于自组织特征映射网 ( SOF M)的灰度图像二值化方法 ,通过像素灰度值对网络的训练找到图像的目标类灰度中心和背景类灰度中心 ,再利用竞争取胜的机制处理每一个像素使其二值化。实例验证了这种方法处理受噪声污染的一些质量中等和质量较差的灰度图有较好的二值化效果。
In this paper,a binary conversion method of gray image based on self organization feature method(SOFM) is presented. The gray center of the aim class and the gray center of the background class are found out by training the net with the gray value of the picture element. Then every picture element is calculated and made binary according to the competition mechanism.Examples prove that the method is effective in dealing with the gray image disturbed by noise.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
2001年第6期1087-1090,共4页
Journal of Hefei University of Technology：Natural Science
