基于一维熵的图像阈值自动选取

Automatic Choice of Threshold Value of Gray-level Images by Using 1-D Entropy

图像的直方图双峰不明显时,选择分割阈值就很困难。本文提出用图像的香农(Shannon)信息熵来克服这一困难,并进行了理论推导,提出了实现算法。实验结果表明,本算法对任何形状的直方图,均可自动选择分割阈值。

It is difficult to choose the threshold value when the histogram of images is not evidently bimodal. In this paper,a new method based on the shannon message entropy of images is proposed to overcome this difficulty. Theoretical derivation is carried out and a feasible algorithm is presented. The experimental results show that this method can be used to choose automatically the threshold value for any shape of the histogram of images.