Key_Technology_for_Image_Mosaics-

光伏逆变系统中的最大功率点跟踪算法，采用的是电导增量方法，采用s函数编写，可用simulink载入使用。(maximum power point tracking method in photovoltaic system, this algorithm is written by s-function method and using the incremental conductance method.)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

该程序利用MATLAB语言计算本质矩阵和基本矩阵，其中有用到ransac八点算法(The program utilizes the MATLAB language, the nature of the matrix and the fundamental matrix, which is useful to ransac eight algorithms)

说明：  行为识别3D卷积神经网络,ucf或者KTH数据集都可以使用(3DCNN for action recognition)

一个具备线，矩形，椭圆的画图程序，可以设置颜色，宽度，字体(One with lines, rectangles, ellipses drawing program, you can set the color, width, font)

LK光流算法，包括opencv中LK稀疏跟踪的原理，主要是几篇英文文献，另外还有LK的matlab代码(LK optical flow algorithms, including LK sparse tracking opencv in principle, mainly a few in English literature, in addition to LK matlab code)

说明：  二进小波变换的图像增强,matlab代码(Dyadic wavelet transform image enhancement, matlab code)

基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)

基于Contourlet变换和SVM的SAR图像目标识别 (Contourlet transform and SVM based on the SAR image target recognition)

偏微分方程_PDEs_模型在图像处理中的若干应用(_PDEs_ Model partial differential equations in image processing)