svdandpca

图像校正的Matlab代码，非常不错，可以实现很好的校正结果，速度也很快(Image correction of Matlab code, very good, very good correction can be achieved the result of quick)

提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2幅图像的差异图像，并执行区域增长算法。从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性。(A feature-based algorithm for image mosaics of 8c宅Iles with moving objects is pI．oposcd．The algorithm eliminates the feature points which arc selected in moving objects using similarity transform，and the outliers are eliminated using RANSAC algorithm．In the image blend phase，a difference of two images is created using homogeneous transformation matrix，and a region growth algorithm is implemented SO as to segment the movmg object region．A piecewise mapping algorithm for generating panoramic images is used．Experimental results show the effectiveness of the algorithm．)

说明：  自己编的SVM代码，适合初学者，多多关注，，(SVM learning, suitable for beginners, rich code, SVM code, suitable for beginners, more attention)

乳腺X线图像增强质量评价的ＭＡＴＬＡＢ程序，这里使用对比度和ＤＳＭ两种评价方法对乳腺Ｘ线图像增强方法的优劣做一个客观的评价。(Breast X-ray image enhancement the quality assessment of the MATLAB program, where the use of contrast and DSM two evaluation methods to make an objective assessment of the pros and cons of breast X-ray image enhancement method.)

读取envi的img格式的高光谱文件，是matlab对其进行处理高光谱图像，是env和matlab相同(Read envi img format hyperspectral file, is matlab to deal with hyperspectral images, is the same as env and matlab)

中值滤波，对3X3有优化，纯C，正对BMP格式(Median filtering, there are optimized for 3X3)

说明：  图像融合常见功能，3类共12种图像融合算法，GUI界面，源图像(Common functions of image fusion, 3 types of 12 image fusion algorithms, GUI interface, source image)

说明：  拉普拉斯金字塔算法跟代码！分割图像！请下载！(laplace)

基于马尔科夫随机场的，例子学习超分辨率复原代码。(This is an implementation of the example-based super-resolution algorithm. Although the applications of MSFs have now extended beyond example-based super resolution and texture synthesis, it is still of great value to revisit this problem, especially to share the source code and examplar images with the research community. We hope that this software package can help to understand Markov random fields for low-level vision, and to create benchmark for super-resolution algorithms.)

自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢(Own implementation of sift feature extraction matlab code to calculate feature descriptors for image matching, but a bit slow)