haze_tool

使用Splitting算法和GLA算法实现对图像的矢量量化及重新编码和重建。(Vector Quantization:To generate a 16-codeword codebook using Splitting Algorithm and GLA,then use this codebook to code the training image and reconstuct it.)

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)

利用偏振片旋转三个不同角度得到的三幅偏振图像，计算求得偏振度图像和偏振角图像及斯托克斯分量图像(Use polarizer is rotated three different angles of the three polarization image, the image of the degree of polarization and polarization angle images calculable and Stokes component image)

Hu不变矩的的一至七个矩的代码以及论文。matalb版本，可直接用。(Matlab Code of Hu Moment Invariant)

改程序是本人编写的，可以运行，采用的是yale人脸数据，采用4*4分块，无权值，统一旋转不变模式(The program is I write, can run, using Yale face data, using the 4* 4 block, has no right to value, uniform &rotation invariant mode)

图像处理领域中用于处理LDR为HDR图像的程序，即从低动态范围的图像转成高动态范围的图像(The field of image processing procedures for handling LDR HDR images turn into a high dynamic range image from the low dynamic range image)

图像分割是图像分析的关键步骤，而水平集方法是图像分割的一项热门方法，它有着许多算法不具有的优点，尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子，希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages that the algorithm does not have, especially can be used for medical image segmentation of complex background information is difficult to extract. Here is some level set segmentation image matlab example, I hope we can help you.)

若干经典的无参考图像质量评价算法matlab版本，附带详细的注释。(Several classic non reference image quality evaluation algorithms matlab version, with detailed notes.)

纹理图像分割的算法和实例，其中包括理论的讲解和 MATLAB 文件。(Algorithms and Examples of Texture Image Segmentation)

基于遗传算法的图像增强代码，亲测好用，值得下载(Based on the genetic algorithm image enhancement code, pro-measurement easy to use, it is worth downloading)