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陆文凯老师数字图像处理第二次作业，前景背景分割和前景区域面积计算(Wen-Kai Lu a teacher of digital image processing a second operation, the background segmentation and the prospects for the future size of the area calculation)

利用HOG算子提取特征，利用支持向量机进行分类，得到了较好的图像分割效果(Using HOG operator to extract features, using support vector machine to classify, get a better image segmentation effect)

用Matlab来实现PCA，并分别求出图像在第一、二、三主分量上的投影。(Using Matlab to implement PCA, and images were obtained in the first, second and third principal component on the projection.)

说明：  实现目标检测的代码，有例程视频，可以运行(Achieve target detection code, there are routine video, you can run)

多光谱成像，压缩编码孔径成像，数据立方体获取，图像重建(multispectral CCA imaging)

说明：  K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

人脸检测，能够检测出多张人脸，通过建立肤色模型，图像预处理等，分割出肤色区域，效果不错。(Face detection and can detect more than one face, through the establishment of skin color model, image preprocessing, segmentation of color of skin area, the effect is good. )

对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)

基于边界约束和上下文正则化的图像快速去雾算法(Effi cient Image Dehazing with Boundary Constraint and Contextual)

说明：  用harris 算子提取特征点 然后求取两帧图像之间的运动参数(Operator Feature Extraction then strike two images among the parameters of the movement)