一种改进的基于最大类间方差的图像分割方法

An Improved Image Segmentation Algorithm Based on the Otsu Method

在分析最大类间方差阈值图像分割算法原理的基础上,根据实际图像直方图中目标与背景的像素分布特点,提出了一种改进的最大类间方差图像分割算法。该算法充分考虑了图像直方图中目标与背景存在交叉的情况,通过与传统阈值分割算法的实验比较,证明该算法具有分割精度高、效果好、速度快的特点。

Under studying the principle of Otsu method, and in case that the object and the background in imageobey normal distributions, an improved threshold image segmentation algorithm based on the Otsu method is de-veloped.The new improved algorithm takes into account that the object and the background in image havecrossover.From the compared with the Otsu method and the maximum entropy method,the results show that thenew improved algorithm has these advantages such as high segmentation precision and fast computation speed.