基于大津法的图像分块二值化算法

Binarization Algorithm Based on Image Partition Derived from Da-Jing Method

本文对灰度图像二值化的方法进行研究,提出了一种新的以大津法为基础的图像分块二值化方法。通过对采集到的火车轮字符进行实验,结果表明了这种新的二值化方法在不均匀光照、图像模糊的情况下能很好地对图像目标(字符)进行分割,该方法的思想可以推广到对一般灰度图像的二值化中去。

This article studies the method of binarization to gray image, presenting a novel binarization method based on image partition derived from Da-Jing. After experiments for collected characters on trainwheel, the result has demonstrated that the fuzzy image objects （Characters） with asyrmnetric illumination could be segmented perfectly by this method. The thought of this method can be applied to general gray images.