基于量子最大熵多阈值算法的图像分割研究

针对图像分割中的问题,采取量子多阈值最大熵算法.首先确定图像信息最大熵的概率密度函数,求解出熵最大化验前密度；接着把图像用灰度值分成背景和物体两个区域,统计不同的灰度等级内像素的量子比特值,由所占的比例得出像素点的最佳分割阈值；最后给出了算法步骤.实验仿真给出了不同算法的图像分割结果,本文算法对噪声的抑制能力较强,得到较高精度的图像,并且保留了边缘的重要信息.

Image segmentation research based on quantum maximum entropy algorithm

This paper solves the image segmentation problem by using the quantum multi-threshold maximum entropy algorithm.Firstly we determine the image maximum entropy probability density function,calculate the maximum entropy density before test,then the image gray value is divided into two regions of the background and the object,the pixel quantum bit values in different gray levels are counted,the optimal segmentation threshold is obtained according to the proportion of pixels.Finally the algorithm steps are proposed.Experimental simulation shows that the algorithm has a stronger capability at noise suppressing,has a higher accuracy while preserving the edge information.