基于SIFT的图像配准，这只是基中的一部分，想知道其他的请稍候...

基于混合高斯的背景建模与阴影抑制算法研究,背景建模，目标检测-Based on Gaussian mixture background modeling and shadow suppression algorithm, background modeling, target detection

This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. -This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B

通过此算法选取出来的阈值非常理想，对各种情况的表现都较为良好。虽然它在很多情况下都不是最佳的分割，但分割质量通常都有一定的保障，可以说是最稳定的分割。由上可知，大津算法是一种较为通用的分割算法。-Through this algorithm to select the threshold by the very satisfactory performance of the various situations are relatively good. Although in many cases it is not the best partition, but the quality of segmentation is usually a certain degree of protection, it can be said is the most stable partition. From the above we can see that Otsu algorithm is a segmentation algorithm is more generic.

最快和最好用的多边形裁剪算法-fastest and the best use of polygon clipping algorithm

gui界面设计，进行图像的一般处理，如旋转，加噪，直方图均衡化等-gui interface design, the general image processing, such as rotation, noise, such as histogram equalization

几何活动轮廓模型（snake模型）中level-set算法的matlab源码-Geometric active contour model (snake model) in the level-set algorithm matlab source

一篇关于遥感图像处理的专业论文，对做图像处理的人士有很大的帮助-An article on remote sensing image processing professional papers, to do image processing to those who are very helpful

五种粒子滤波仿真，便于初学者学习粒子滤波算法-Five particle filter simulation, easy for beginners to learn particle filter

现在进行图像处理已经越来越频繁，下面是用c语言进行图像jpeg处理压缩编码源程序-Will now proceed to image processing has become increasingly frequent, Here is using c language source code to handle compressed jpeg image

这是国际上首次采用GPU来实现立体视觉匹配的应用，此后GPU的应用才开始变的广泛起来，很值得从事GPU编程和开发者阅读，里面实现的很精简，读懂要花点功夫哦。-This is used for the first time the international community to achieve GPU matching stereo vision applications, since the application of GPU began to become widespread, and is worth engaging in GPU programming and developers to read and realize it