LBP

各种图像分割算法程序，里面包含好几个文件夹，每一个文件夹都有程序(matlab image sengmentation)

包含基于三种不同方法的应用于图像处理的矩阵低秩分解的matlab算法，可以将目标图像分解为一个低秩图像和一个稀疏图像之和；并包含一种基于区域生长方法的图像区域识别程序，可以用来提取图像中的目标。(Containing used in image processing based on three different methods of low-rank matrix decomposition algorithm matlab, the target image can be decomposed into a low rank of the image and the image and a sparse and contains a region growing method based on image area recognition program It can be used to extract the object in the image.)

说明：  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.)

自编语谱图函数，可实现基本的spectrogram功能(Self compiled spectral function, which can implement basic spectrogram functions)

霍夫曼图像压缩编码，无损压缩，压缩率为2倍，压缩效果很好。(Image compression Huffman coding, lossless compression, the compression rate is 2 times the compression works well.)

Visual Tracking via Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该算法在CVPR2013中出现，算法较简单但却非常有效，值得各位研究视觉跟踪算法的同行研究(Visual Tracking via Locality Sensitive Histograms)

这是一个数字图像处理的程序，能够实现目标检测与跟踪，事项了EM算法、是对原有的算法改进。(This is a program of digital image processing, target detection and tracking can be achieved, the matter of the EM algorithm, the improved algorithm is the original.)

k-svd算法m代码.用于形成冗余字典，对图像进行稀疏分解(m k-svd algorithm code used to create a redundant dictionaries, sparse decomposition of images)

螺旋轨迹重建的一种实现方法，是解析算法的典型案例(An implementation method of spiral trajectory reconstruction is an analytical algorithm)

DOG检测算子，能够构造高斯尺度空间，并检测其中的极值，从而得到有价值的特征点位置(DOG detection operator, the Gaussian scale space can be constructed, and tested one of the extremes, resulting in valuable feature position)