myenviread

使用小波框架来实现图像融合算法。文件中有测试图片。(Framework to achieve the use of wavelet image fusion algorithm. Document the test picture.)

基于PCA的雷达点云数据的形状特征提取,主要是屋顶平面提取(The feature extraction of LiDAR point cloud data based on PCA)

说明：  利用CFAR检测SAR图像中的高亮度目标。(Detect targets with high backscattering intensities by CFAR algorithm)

matlab关于DCT的图像处理程序 供大家交流(Matlab on DCT image processing procedures for the exchange of)

彩色图像融合 NSCT 实现红外与可见光图像融合(Color image fusion NSCT realize infrared and visible image fusion)

二进小波多级分解。基于二进小波的图像度尺度分解和边缘检测，效果还行。(into two multi-level wavelet decomposition. Based on Wavelet Image degrees scale decomposition and edge detection, the results were OK.)

基于梯度相似度的图像质量评价方法，发表在2012年TIP国际期刊上(A. Liu, W. Lin, M. Narwaria, “Image Quality Assessment Based on Gradient Similarity,” IEEE Transactions on Image Processing, vol. 21(4), pp. 1500-1512, 2012.)

说明：  视频追踪ECO算法源代码以及ECO论文PDF(Video tracking eco algorithm and eco paper pdf)

傅里叶梅林变换，图像处理的基本内容，易学易懂(Fu Liye Mellin transform, the basic content of image processing, easy to learn and understand.)

背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)