xt3

一种光学测试的算法，有助于全面分析激光大气传输特性及其对光电系统性能的影响，希望对大家有帮助哦(An optical testing algorithm, which helps to fully analyze the characteristics of laser propagation in the atmosphere and its impact on the performance of photovoltaic systems, we want to help oh)

图像分割，包括阈值分割Otsu法，边缘检测包括Roberts算子，Canny算子等，边界跟踪包括Bwtraceboundary函数调用来对图像进行分割等(Image segmentation, including threshold segmentation method of Otsu edge detection, including Roberts operator, Canny operator, edge tracking includes Bwtraceboundary function calls to the segmentation of the image)

利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。(Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.)

说明：  实现平滑0范数压缩感知算法，主要对二维图像进行压缩感知重构。自行设置图像的采样数目、添加图像即可运行，无需修改。(Realizes a smooth 0-norm compressed sensing algorithm, mainly for compressed sensing reconstruction of two-dimensional images. Set the sample number of the image by yourself, add the image to run, no need to modify.)

用Matlab写的投影法提取嘴唇 输入图像必须是规定大小的人脸(Written using Matlab projection extraction lips input image must be provided for the size of face)

本代码主要应用于图像压缩，代码包括采用二维离散余弦变换（DCT）进行图像压缩、采用小波变换进行图像压缩以及基于小波变换与混沌排序图像加密压缩、解密重构 hundungen 是ex3的子程序：产生混沌序列(This code is mainly used in image compression, including the use of code dimensional discrete cosine transform (DCT) for image compression, image compression using wavelet transform and wavelet transform compression and chaotic image encryption based sorting, decryption reconstruction)

在matlab环境下完成分水岭算法图像分割(Matlab environment in the completion of the watershed image segmentation algorithm)

图像压缩实例，使用函数wdcbm2()获取信号压缩阀值(the example for image compression using wdcbm2() which is a wavelet function )

说明：  下拉框自动提示 输入内容可直接显示出所匹配的所有信息(Drop-down box automatically prompt input all the information can be displayed directly matched)

这是本人发表的目标跟踪方面论文使用的代码，是基于随机假设概率滤波的多目标跟踪算法。(This is the code used by the target tracking paper I published, filter multi-target tracking algorithm based on the probability of a random assumption.)