omp

该数字图像处理文件有很强的修改能力，可以仔细的分析每一个频域不同条件下的实验结果分析。有很强的处理图像能力(The digital image processing of documents has a strong ability to change and be more careful analysis of each under different conditions, a frequency-domain analysis of the experimental results. Has a strong ability to deal with images)

基于NCC与SSDA的快速特征点匹配融合算法（图像匹配）(NCC and the SSDA-based feature points matching the rapid integration algorithm (matching))

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)

程序为读取图片并对图片进行边缘检测，先采用高斯滤波进行去噪，然后通过求梯度运算检测，非极大值抑制边缘检测，双阈值检测这三种方法，分别对图片进行边缘测，并对边缘检测后显示的图片进行对比。此程序对边缘检测有很大的参考价值。(Program to read the image and image edge detection, Gaussian filter to remove noises, and then detected by calculating the gradient operation, the non-maxima suppression edge detection, dual-threshold detection of these three methods, namely the picture edge test, and the rear edge detection to display image comparison. This program is great for edge detection reference value.)

DCT1.m为一维离散余弦变换exp22.m为对一幅灰度图像进行离散余弦变换 exp23.m为对一幅彩色图像进行离散余弦变换(DCT1.m for the one-dimensional discrete cosine transform exp22.m for a gray image exp23.m discrete cosine transform for the color of an image discrete cosine transform)

说明：  图像检测，目标检测简单来说就是找出图像中的目标并给定目标的位置，一般用矩形框定位出目标(In image detection, target detection is simply to find out the target in the image and give the location of the target. In general, the rectangular box is used to locate the target)

说明：  kl变换. KL变换的流程如下： （1)获取多幅图像的统计特性：图像之间的协方差 （2)获取协方差的特征值和特征向量，从而获取正交核:特征矩阵 （3)图像对应象素点对各个特征向量进行投影运算。(kl transformation)

摄影测量的一个开源代码，内部含有后方交会、前方交会、相对定向、立体量测、像点匹配等功能源代码。(An Photogrametry open source project, including intersection, relative oriention, stereo measure, image matching source code.)

说明：  本程序是基于小波和盒维数的车型识别程序，可以选择不同车型，有GUI界面，有图片，有程序，能运行，相信初学者一定能够获益。(This program is based on the wavelet and box dimension of the vehicle type recognition program, you can choose different models, GUI interface, pictures, programs, can run, I believe beginners will benefit.)

C++ based JPEG on grayscale image DCT -> Quantization -> ZigZag -> DPCM, Runlength,-> Entropy Coding