qoulen_v65

说明：  冈萨雷斯版数字图像处理， 第三版配套代码，可参考(Gonzalez Digital Image Processing third edition supporting code)

分别利用均值滤波、自适应滤波和中值滤波对噪声图像g1和g2进行滤波，利用峰值信噪比对去噪性能进行比较。(Respectively, using the mean filter, adaptive filtering and median filtering images g1 and g2 noise filtering, denoising performance comparison using the peak signal-to-noise ratio.)

这是一个去背景并且进行阈值分割的程序，阈值的选择采用迭代法(This is the background to a threshold value and segmentation procedures, the threshold value of the options using the iterative method)

说明：  这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配(This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition standards, and established in the school library on the measured fingerprint. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filtering, based on local feature points of the feature matching)

说明：  也是水平集方法的一个matlab源代码 比较经典的写的很详细 还可以做3d处理的(level is a collection of source code comparison Matlab classic written in great detail can be done to deal with the 3d)

文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)

使用光流法对运动目标进行估计，要使用opencv一起实现。效果还不错(Using optical flow method to estimate the moving target, to use opencv implemented together. Results were pretty good)

说明：  Kirsch算子边缘检测代码，计算了八个方向的梯度值(Kirsch operator edge detection code)

读取图片，分割出敢兴趣区域，用到同态滤波，形态学，连通域，以及hough圆检测等算法。(Read images, segmented m interested in the area, the use of homomorphic filtering, connected domain, morphology, hough circle detection algorithm)

根据Dalal提出的HOG特征算法编写，代码简单，注释清楚，根据所处理图像的名称路径修改后可生成36*105的特征向量。(The algorithm proposed by Dalal HOG feature writing code simple, clear annotation feature vector can generate 36* 105, modified according to the name of the image processing path.)