LS_Unwrape

本算法需要两幅或多幅不同偏振角度的有雾图像，应用暗通道算法估计大气光强，最终所得的图像去雾效果较好(Fog fog removal based on polarization information)

基于MM-GMPHD算法多目标跟踪，对目标数目，观测量进行估计，共有五个不同时刻产生的目标，(multi-target tracking )

通过图片的外参数矩阵对图片进行透视变换，对图片的外参数进行校正(camera calibration)

生物学中检测基因对颜色的影响，所以需要计算某种颜色占整体的比例(calculate color ratio)

对于图像进行ANORLD变换，在图像嵌入水印的过程中，可以对要嵌入的水印图像先进性置乱操作，可以有效地抵抗剪切攻击(For images ANORLD transform, watermark embedding in the image of the process, can the watermark image to embed the advanced nature of the scrambling operation, can effectively attack the shear resistance)

脉冲耦合神经网络算法的MATLAB工具箱，希望对大家有用(Pulse Coupled Neural Network Algorithm MATLAB Toolbox, in the hope that useful)

m_map使用方法详细介绍，采用matlab下载世界地图，可以获取海岸线等数据库(M_map uses the method to introduce in detail, uses the MATLAB to download the world map.)

针对图像全局Otsu 分割算法和传统的局部阈值分割算法在复杂背景图像分割中的不足, 提出了一种采用局部动态阈值的图像分割算法。(Image segmentation algorithm for global Otsu and traditional local threshold segmentation algorithm in complex background image segmentation the insufficiency, puts forward a dynamic threshold use local image segmentation algorithm.)

说明：  ：针对显微图像分析、识别需要的全自动控制显微镜，研究开发其相应的图像处理算法。提 出了能量谱自动聚焦评价函数算法、自适应选取基准图的图像拼接算法、改进 Laplacian算子的多层 聚焦图像叠合算法等。该算法模块已成功地应用于所开发的CMIAS 显微医学图像分析系统中，取得 了满意的应用效果。(【ABSTRACT】For the automatic microscope required by micro-image analysis and recognition, the relevant image processing a lgorithms are investigated. Three algorithms are described: energy-spectrum image auto focusing evaluation function, image merging based on the adaptive selection of standard image and sum-modified-Laplacian (SML) operator for multi-focus image fusion. The algorithms have been applied successfully to CMIAS medical micro-optical image analysis system and testified to be feasible and effective. )

使用matlab调用opencv做成的adaboost人脸检测DLL模块，在usb摄像头采集的视频序列中检测人脸并实时显示， 实时性比C低。 下载后可以直接在matlab运行，不要改动文件夹内的文件相对位置。(Opencv matlab call made using adaboost face detection DLL module, usb camera capture video sequences of face detection and real-time display, real-time lower than C. Download can be run directly in matlab, do not change the file folder relative position.)