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kalman是视频跟踪的几本算法，本算法就是一个kalman的很好的应用例子！(video tracking kalman several algorithms, this algorithm is an application of kalman good example!)

说明：  基于python-opencv的图像匹配代码，包含了SIFT、SURF、AKAZE、ORB方法。43-48行修改图像路径，74-81修改匹配方法。(dev: python3.6+opencv_python==3.4.2+opencv-contrib-python==3.4.2)

连续投影算法选出最优波段，一般是选出光谱图形的最优波段(Successive projection algorithm chooses the optimal band, typically selected spectral graph of the optimal band)

IDL语言进行波段运算功能的源代码，有两个内容(IDL language band math )

四种图像去噪程序，给原图像分别加上高斯噪声，椒盐噪声，乘性噪声，脉冲噪声后进行去噪，输出去噪后的图像(Four image denoising procedures, to the original image plus Gaussian noise, salt and pepper noise, multiplicative noise, impulse noise the Denoising output denoised image)

2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的matlab代码.(CVPR best paper in 2009 ，He Kai Ming Single Image Removal Haze is the Using the Dark Channel matlab code,)

使用PCA和SVD进行数据去噪，利用数据主要的特征向量进行数据恢复和重建(Using PCA and SVD for data denoising)

实现三层图像金字塔构建和两幅图像融合，代码完整(Three layers of image Pyramid construction and two image fusion, complete code)

基于小波的图像多尺度方向特征提取，小波可使用 db4 (Based on wavelet multi-scale orientation of the image feature extraction, wavelet can be used DB4)

首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)