SyntheticAlgorithm

说明：  图片马赛克效果图片马赛克效果图片图片马赛克效果马赛克效果(Photo mosaic picture image photo mosaic mosaic mosaic)

本程序用于对工件图像的预处理，边缘提取等。将改进遗传算法和Hausdorff距离结合用于工件识别。采用canny边缘为匹配特征，将修正的Hausdorff距离作为相似性度量准则，并应用遗传算法进行最佳匹配的快速搜索，成功实现了目标物体的匹配识别(This procedure used for the workpiece image preprocessing, edge extraction and so on. Will improve the genetic algorithm and Hausdorff distance combination for workpiece identification. Using canny edge for matching characteristics, will be amended Hausdorff distance as similarity measurement criteria and the application of genetic algorithm is the best match of the Quick Search, the successful achievement of the target object matching identification)

基于数学形态变换的骨骼CT边缘提取 Canny算子(Transformation of bone based on mathematical morphology edge detection Canny operator CT)

压缩感知中的梯度投影重构算法，经修改可以运用与单像素相机成像(Gradient projection reconstruction algorithm of compressed sensing, modifications can be used with single pixel camera imaging)

十分有用的 图像pocs算法，内有图片说明及示例(A very useful POCS algorithm for images, with illustrations and examples)

图象去污渍，mask为污渍图象，另一个为原图或受损图象(Image to remove stains, mask for stained images, and the other for original or damaged images.)

说明：  pca、knn、cnn算法的matlab代码(Matlab code of PCA, KNN and CNN algorithm)

利用多尺度高斯函数去除场景的光照分量；然后构造了一种二维伽马函数，利用光照分量的分布特性调整二维伽马函数的参数，降低光照过强区域的亮度值，提高光照过暗区域的亮度值，最终实现对光照不均匀图像的自适应校正处理。(The multi scale Gauss function is used to remove the illumination component of the scene, and then a two-dimensional gamma function is constructed. The parameters of the two-dimensional gamma function are adjusted by the distribution characteristics of the illumination component, the brightness value of the light illuminated region is reduced and the brightness value of the light dark area is improved. Finally, the adaptive correction of the uneven illumination image is realized. Positive treatment.)

复杂场景中的红色交通标志牌检测与识别，结合颜色与圆形的标志牌定位，然后提取特征，最后用模板匹配的方法实现识别，内附图片和程序说明，对初学者有帮助(Red detection and recognition of traffic signs in complex scenes, the combination of colors and circular signs positioning, and feature extraction, the last with template matching methods to achieve recognition, included pictures and a description of the procedures for beginners)

说明：  matlab区域填充的具体算法及演示，绝对原创(the algorithm of fill an origin used matlab)