基于量化图像直方图的最大熵阈值处理算法

MAXIMUM ENTROPY IMAGE THRESHOLDING ALGORITHM BASED ON THE HISTOGRAM DEFINED ON QUANTIZATION IMAGE

本文基于量化图像的灰度直方图及其熵概念,讨论了一种快速最大熵阈值处理算法。该算法能够递推运算和自动寻找阈值。证明了量化后图像的直方图与原始图像直方图具有相同的形状,因此量化图像直方图的采用并不影响最大熵算法的性能。

In this paper, a fast maximam entropy image thresholding algorithm is discussed based on the histogram of quantized image and its entropy. The algorithm we discussed can be calculated recursively and find the threshold value automatically. We prove that the original histogram and its quantized one are almost the same in their shapes, and it is not, important to the performance of the algorithm. The computational complicity of the maximum entropy image thersholding algorithm based on the histogram defined on quantized image is lower than that of the thersholding algorithm based on the original histogram.