partition图像分割

Matlab版改进的sobel算子边缘检测算法，有效减少边缘断点(Matlab version improved sobel operator edge detection algorithm is effective in reducing edge break)

ava数据库下载代码,用于图像美学质量评价(download ava dataset，image aesthetic assessment)

说明：  行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)

采用分形几何学方法检测电能质量骤降，分形几何方法采用局部方差分维数(The use of fractal geometry used to detect power quality sharp fall in the use of fractal geometry methods of partial differential side dimension)

说明：  为了达到较好的隐藏效果，本文采用游程编码的方法在二值图像中隐藏信息。秘密信息嵌入时修改二值图像的游程长度，如果秘密信息为是0，则修改该游程长度为偶数；如果秘密信息的取值与游程长度的奇偶性相匹配，则不改变游程长度。提取时根据游程长度奇偶性提取出秘密信息。在信息隐藏时，改变游程的奇偶性时通过对下一个游程的第一个像素值进行修改，因此当下一个游程长度为1时通过改变当前有成的值实现。(In order to achieve better hiding effect, we use run length encoding method to hide information in two value images. When the secret information is embedded, the length of the travel length of the two value image is modified. If the secret information is 0, the length of the travel length is even even. If the value of the secret information is matched with the parity of the length of the run, the length of the journey is not changed. The secret information is extracted according to the parity of run length. In information hiding, changing the parity of the journey is modified by the first pixel value of the next run, so the current length is 1 by changing the current value.)

mean shift 均值漂移算法的matlab实现，大家可以看看，比较实用(mean shift algorithm matlab mean-shift realize, we can look at more practical)

用高斯混合模型进行数据聚类分析的matlab 程序。(Set of files for analysis of Gaussian mixture models for data set clustering etc.)

先运用仿射变换粗配准，再运用active-demons算法进行精细配准(First use of affine transform the coarse registration, and then use active-demons algorithm for fine registration)

数字图像的几何校正，有效解决因为视角不正确、设备等因素引起的图像几何上的变形(Geometric correction of digital images, an effective solution to the deformation on the geometry of the image because the perspective is not correct, equipment, and other factors...)

基于matlab的高帽变换，能很好地对图像进行一定的处理，实现图像的增强，线性特征的提取，为后续的处理做准备(Matlab-based top-hat transform good image processing, image enhancement, linear feature extraction, to prepare for subsequent processing)