FingerPrint

首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)

这是一个数字图像处理常用的功能的集成软件，用VC++ 编写，可以对图像进行一些常见的操作，也可以自己扩展功能(This is a common feature of digital image processing integrated software, images can perform basic operations)

天津工业大学课程设计，内容包含vs2010对图像的灰度化，二值化，边缘检测。包含单纯c语言编写的对图像的灰度化，二值化，边缘检测的一个.C文件，可以直接用vc6.0运行，也可以直接在DSP上运行，还包含一份详细的设计报告。(Tianjin Polytechnic University curriculum design, content includes vs2010 grayscale image binarization, edge detection. Contains pure c language for image graying, binarization, edge detection is one. C file that can be run with vc6.0 can also be run directly on a DSP, also contains a detailed design report.)

几种经典的图像噪声方差估计方法（论文和源代码）(Several classical noise estimation method (articles and source code))

基于Hog特征 SVM分类器，利用Opencv3.0进行手写数字识别的源代码及所需资源文件（训练图片、测试图片）

说明：  Pixel design for H-noise cal; imageJ platform ; test done

RANSAC算法实现数据拟合，用此算法可以实现多视角图像匹配等(RANSAC algorithm for data fitting, using this algorithm can realize multi-angle image matching, etc.)

采用超像素进行分割图像，利用到了超像素和Ncut的方法，采用了c与maltab混合编程。(Code to compute superpixels. use cncut and superpixel code for segmentation. Mex program c and matlab)

gray image to color image conversion

说明：  利用边界匹配算法恢复受损图像寻找最优运动矢量(edge detection function [hough_space,hough_circle,para] = hough_circle(BW,step_r,step_angle,r_min,r_max,p) )