adaptive

实现RGB到HSV空间转换，之后提取H、S、V分量后获取图像的颜色直方图和累计颜色直方图。(Achieve RGB to HSV space conversion, after the extraction of H, S, V components to obtain the image of the color histogram and cumulative color histogram.)

用matlab对图像进行锐化，加噪，滤波，平滑滤波，中值滤波等处理(Matlab is used to sharpen the image, add noise, filter, smooth filter, median filter and so on)

经典数字水印算法，包括GUI实现 可直接运行(classic digital watermarking algorithm, including the realization of GUI can run)

地图代数距离变换，八边形距离变换，马哈顿距离变换(Map algebra distance transform, eight sided distance transform, distance transformation)

说明：  图像处理小工具箱，包括中值滤波，高斯滤波，均值滤波，canny边缘提取等小程序(Image processing toolbox, including median filter, gaussian filter, mean filter, canny edge extraction and other small procedures)

outguess 隐写源码，用于对于图像上附加秘密信息 (outguess steganography source code for additional confidential information for the image)

对视屏中动态目标的形心追踪,matlab代码,阈值分割,形心计算,序列图读取显示(The centroid tracking of dynamic targets in the video screen, matlab code, threshold segmentation, centroid calculation, sequence diagram reading and display)

实现了基于压缩传感理论的超分辨率图像重构算法(Compressed sensing theory-based super-resolution image reconstruction algorithm)

对图像分块,计算每个块的均值和方差,并给出了结果的图象化表示,易于观察(Image sub-blocks, each block calculated the mean and variance, and gives the results of the image that is easy to observe)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)