FSITM

盲反卷积算法复原图像的代码,带注释,适合初学者学习(Blind image restoration code, with comments)

说明：  一种基于粒子滤波的测向定位跟踪算法，一种基于粒子滤波的测向定位跟踪算法。(A particle filter based on the finding and location tracking algorithm, a particle filter based on the finding and location tracking algorithm.)

利用最佳直方图熵法（KSW熵法）及穷举法实现灰度图像阈值分割(The best the histogram entropy method (KSW entropy method) and the brute-force method to achieve gray image threshold segmentation)

IHS,PCA加权图像融合三种算法的Matlab源代码(IHS,PCA Matlab )

图像拼接源码实现，包括多频率图像融合，sift特征点配准算法(Image Stitching source implementation, including multi-frequency image fusion, sift feature points matching algorithm)

matlab图像处理算法，包括中值滤波，平滑滤波，直方图滤波等(matlab image processing algorithms, including the median filter, smoothing filter, Histogram filtering)

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)

基于openCV的gabor函数,一位牛人编写的。希望对大家有用(gabor function based on openCV)

对植物图像进行图像分割，区域标记，区域提取(Images of plant image segmentation, region markers, regional extraction)

LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)