DIC-process

视网膜图像中血管的提取和检测，高斯滤波器模板匹配法提取血管，然后进行血管剔除(Retinal image of blood vessels in the extraction and detection, gaussian filter template matching method to extract the blood vessels, and blood vessels )

C#调用DLL实现图像文字识别(OCR)(C # call DLL realize image character recognition (OCR))

对视频中的几帧进行移动目标检测，着重标记出移动目标。(Moving targets are detected for several frames in the video, with emphasis on the moving target.)

图像增强里的小程序，有中值滤波，平滑处理还有频域增强(Image Enhancement in the small procedures, median filtering, smoothing also enhanced the frequency domain)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

可自选输入和参数的中值/均值/拉伸滤波，各项参数说明详见.m文件注释(Median/Average/Linear Stretch Filter)

实现图像的方差，斜度，峰度，能量和熵的实现，代码简单，可以直接运行(matlab graph variance)

关于超声图像散斑噪声去除（基于非局部均值的快速滤波算法）和超声心动图的分割（基于变分水平集）(This code is concerning with the Speckle reduction(accelerated algorithm based on non-local mean filtering) and the segment of image(based on level set))

激光雷达数据处理，点云及图像显示，为激光雷达数据处理提供参考依据。采用matlab软件 易于实现编程 (The leaf area index (LAI)was measured for each variety after the trials.All the obtained relationships were determined by measuring the weight and surface area of 50 samples collected from the bottom, middle and top parts of the vine.)

说明：  curvelet变换贝叶斯估计方法，用于估计含噪声图像的噪声参数。再对图像进行去噪处理(curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing)