matlab

画图源程序-图像数据显示，可以对数据进行时间轴的曲线显示，也可以是空间轴的多维显示 (Paint source- the image data, the data can be curve shows the time axis, it can be multi-dimensional display space axis)

复数乘法实现图像旋转，并且运用插值对旋转后的图像优化(Complex multiplication of image rotation, and the use of interpolation of the rotated image optimization)

二值化处理图像，自动拟合椭圆并得到长短轴的大小。(Automatically fit the ellipse and get the size of the long and short axes)

压缩感知，稀疏表示采用小波基表示，压缩测量采用随机高斯矩阵，重构算法是omp重构(Compressed sensing, sparse representation using wavelet representation, compression measurements using random Gaussian matrix remodeling reconstruction algorithm is omp)

车牌识别。系统界面包括车牌图像预处理、定位、矫正、分割、识别等各个步骤的结果显示；显示包括待识别车辆和处理结果图像或数据(License plate recognition. System interface includes license plate image preprocessing, positioning, correction, segmentation, recognition and other steps of the results display; display includes the vehicle to be identified and processing results images or data)

本程序的作用，完成了一种图像的DDE算法，数字图像细节增强。(The role of this procedure, the completion of an image of the DDE algorithm, digital image detail enhancement.)

求灰度共生矩阵及其各要素用matlab实现(For gray-scale co-occurrence matrix and its elements realize with matlab)

说明：  基于MATLAB GUI的图像处理界面，包括基本的图像处理功能(Graphical interface construction based on image processing)

压缩感知大牛陆吾生写的代码，可以直接运行，有机会可以搜一下他的视频，真的讲的好(Compressed sensing born Daniel Lu I write code that can be run directly, have the opportunity to search about his video, really good talk)

说明：   针对雾天下拍摄图像的退化现象，远景部分是一块灰度分布比较集中且接近天空亮度的区域，而近景部分可以分辨，其灰度分布比较分散。提出了一种基于遗传算法阈值分割的雾天图像增强方法；该方法首先用遗传算法求出近远景的分割阈值将图像分割[1]出来，然后对两个部分分别进行清晰化处理。(make the picture clear)