segment_ga

说明：  利用区域标记进行区域分割，去除面积较小的联通区域(Use of regional segmentation markers, removing smaller areas Unicom)

说明：  对二维图像进行分形维数的计算，采用差分盒维数进行计算，并且进行了拟合误差的计算(The fractal dimension of two-dimensional image is calculated by using the differential box dimension, and the fitting error is calculated)

用分裂bregman方法解决图像模糊的matlab算法，很经典，大家可以参考一下(Split bregman method to solve the image blurring Matlab algorithm, it is classic, and we can refer to)

一般自然图像的梯度分布符合重尾分布，重尾分布也就是超拉普拉斯分布，根据这个特点进行图像复原。(The gradient of a natural image in line with heavy-tailed distribution, which is ultra-heavy-tailed distribution Laplace distribution, image restoration based on this feature.)

在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)

LabWindows /CVI 大学实验指导书，难度循序渐进，一套下来，基本操作都会了。推荐一下(LabWindows/CVI University experiment instructions, the difficulty of step-by-step, set down, the basic operation will be. You recommend)

几个将图像分块，将分块图像拼接，和裁减图像的实用小程序(several image block to block image mosaic, and the reduction of small images of practical procedures)

迭代收缩阈值算法和快速收缩阈值迭代算法求解Lasso问题(Iterative Shrinkage Thresholding Algorithm (ISTA) for LASSO problem)

说明：  criminisi算法。传统的criminisi图像修复算法，可对破损图像进行纹理修复(Criminisi algorithm. The traditional criminisi image restoration algorithm can repair the damaged image texture)

此算法是图像之间的转换，二值图，RGB等的相互转换源代码(This algorithm is the conversion between the images, the two value of the map, RGB, and so on the conversion of the source code)