TwoDZuiXiaoFuzzyEntropy

本程序实现医学图像的增强，实验显示，处理后的医学图像轮廓清晰，可识性较好。(This procedure to achieve medical image enhancement, experiments showed that the treated medical image outline a clear, identifiable better.)

说明：  自相关算法,用于图像处理方面，可以用来处理模糊的图像(Autocorrelation algorithm, for image processing, can be used to deal with blurred images.)

Gabor滤波器方法提取纹理特征的两个函数，采用5个尺度和6个方向，运用于灰度图。(Gabor filters to extract texture features of the two functions, using the five scales and six directions, applied to grayscale.)

采用Harris原理提取角点，并将角点坐标写入txt文档以便后续处理，附处理前后图片(Principle extracted using Harris corner, corner point coordinates and write txt document for subsequent processing, with before and after pictures)

提取糖尿病视网膜病变眼底图像上硬性渗出。将彩色图像转为灰度图，对灰度图进行形态学处理、去背景、阈值分割，最终将原图上的硬性渗出区域用绿色标记出来。(this word is to extrac the hard exudates on diabetic retinopathy fundus image. The color image to grayscale on grayscale morphological processing to the background, threshold segmentation, ultimately on the original hard exudates area marked in green.)

说明：  基于HLS的图像处理，opencv，可供软件人员使用(Image processing based on HLS)

批量图片格式转换

C# 远程打码 实例项目源码

用CUDA并行处理方法改写的图像降噪算法，包括KNN,NLM,以及改进的NLM方法。配置环境适合VS2010+CUDA5.0,对使用CUDA的同学来说是很好的教材。(Image denoising algorithms including KNN,NLM and refined NLM run on CUDA, useful demo for who learns CUDA based parallel programming.)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)