tuxiangpinjie

说明：  利用python和opencv拼接两张图片(Splicing two pictures using Python and opencv)

遗传算法在道路图像阈值分割中的应用，算法中对遗传算法的遗传算子进行了一系列的改进，收敛性较好。(Genetic Algorithm in the path of the image threshold segmentation application, the algorithm of genetic algorithm genetic operator carried out a series of improvements, a better convergence.)

说明：  对图像进行细化和提取骨架操作，还是那句话，绝对原创(read an image and proccessed with matlab to get its skeleton and the result of thin)

本程序是利用大气湍流公式对图像进行模糊处理( This program is the use of atmospheric turbulence equations fuzzy image processing)

背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)

运动目标提取算法，针对多帧图像累加后运动区域的提取(Moving object extraction algorithm for multi-frame image motion region extraction after accumulation)

实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪(Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking)

将一张小图片影藏到大图片当中，使用半色调技术，并通过线性变换，调整两幅图像，将小图像影藏到大图像奇数行和列当中，可以调节线性函数的系数，改变影藏效果，改进后的(Will a small picture hidden to the big picture of a shadow of halftone use technology, and through the linear transformation, adjust the two images, the images hidden to big image of an odd number of rows and columns, can adjust the coefficients of the linear function, change the shadow hidden effect)

基于椒盐噪声滤波的改进加权中值滤波算法,目的在于处理高浓度椒盐噪声，并且有效的保护边缘细节(salt and pepper noise filter and weighted)

使用cnn提取图像特征，然后用SVM分类，此处没有给出训练集，另外imagenet-caffe-alex部分代码需要注意，需要下载的话把注释掉的代码打开(Using CNN image feature extraction, and then use the SVM classification, there were no given training set, also need to pay attention to imagenet-caffe-alex part of the code, you need to download the commented code open)