NonlinearEnhancement

说明：  Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

说明：  一款实用的滤波器设计软件，有助于自行设计滤波器时作参考 (A practical filter design software, will help to design filters for reference)

用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好(Using level set and morphological segmentation with the method of combining images, mainly for low-contrast medical images, better)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

小波处理，滤波，复原，融合等VC源代码.(Wavelet processing, filtering, recovery, integration VC source code.)

可同时实现多幅图片的傅里叶能量谱统计与分析！得到相应通道能量的信息！(Multiple images to achieve the power spectrum of Statistics and analysis!)

说明：  基于暗通道先验的但图像去雾,暗通道先验就是基于这样一个假设：在绝大多数非天空的局部区域里，某一些像素总会有至少一个颜色通道具有很低的值。(Single Image Haze Removal Using Dark Channel Prior.)

视频图像序列中分的运动目标检测matlab源码，分割运动目标(carve the moving target detection Matlab source, Moving Target Segmentation)

将一副图像进行rgb分离，并将R G B 的各个分量显示出来。(the sepration of rgb and show the sepration )

由遥感图像的日数据生成旬数据，一是输出旬数据总和，二是输出旬数据平均值(From the date of remote sensing image data generated late data, the sum of ten days one output data, the second is the average of the output data late)