局部灰度级展开的子块直方图均衡方法

A Partly Gray Level Spreading Sub-block Method of Histogram Equalization

直方图均衡是进行图像处理最基本的处理方法，该文提出一种用改进的子块直方图均衡的方法，在将图像分成子块处理的基础上再根据子块内的灰度分布决定其展开范围，而不是机械地在全部灰度级展开，通过对一幅肺部CT图像进行处理表明，该方法较之传统的方法更能够提高细节的对比度，能有效地应用于边缘检测以及医学图像处理等领域。

Histogram equalization is a basic method in image processing. This article puts forward an improved method to equalize histogram, instead of spreading it to all gray class, it is handled firstly by dividing the image into many sub-blocks and then the range that will be spreaded is decided by its maximum and minimum gray value. Through processing an medical image, it is seen that the method can enhance the contrast of a image than traditional method. This method can be applied in some fields such as edge detection and medical image processing efficiently.