DieDai

说明：  基于Haar+AdaBoost+bdd100k数据集做车辆识别(Vehicle recognition based on Haar + AdaBoost + bdd100k dataset)

程序功能是把一副倾斜的文字图像矫正过来，通过边缘检测再进行霍夫变换完成(The program function is to correct a skewed text image.)

Aptina ASX340图像传感器设计线路图及datasheet(Aptina ASX340 image sensor design schematics and datasheet)

transver mat file format to raw file format, simply matlab code, usd to 3D medical image processing/data input

弹流油膜数值计算画等高图，难以得到预想马蹄形特征，通过代码处理，可以方便的解决问题，得到满意的预想图(EHL film numerical draw contour map, it is difficult to obtain desired characteristic horseshoe, processing through the code, you can easily solve the problem, get a satisfactory RENDERING)

采用gabor算法，灰度共生矩阵、灰度梯度共生矩阵提取图像纹理信息(Using Gabor algorithm, gray level co-occurrence matrix and gray level gradient co-occurrence matrix to extract image texture information)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

说明：  高斯投影正反算，将大地坐标转换为平面直角坐标系的坐标。(Positive and negative Gauss projection operator, the geodetic coordinates into Cartesian coordinates the coordinates.)

图像配准的很好的程序，里面用到粒子群算法(image registration is a good procedure, which used PSO)

包含代码：利用BP网络进行图像的主成分分析、BP网络的图像分类应用、数据预处理(Principal component analysis of images using BP network)