KMEANS(matlab)

图像融合程序，及论文 图像融合程序，及论文 图像融合程序，及论文(Image fusion procedure, and the paper image fusion procedure, and the paper image fusion process, and papers)

说明：  灰度不均匀图像处理，具有优良效果，可以使用，效果较好(Uneven grayscale image processing, with excellent results, can be used, with better results)

一个基于matlab开发的系统，实现对图像直方图的绘制、canny、sobel等几种不同算子的边缘检测(A system based on matlab development, drawing the image histogram, canny, sobel edge detection of several different operators can manually modulation threshold)

运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)

基于双目的深度图获取,根据图像合成深度图左右视点( depth map based on binocular)

本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。(The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorithms. Four kinds of inversion algorithm is: TSVD, Chaine, Tikhonov and l1 regularization.)

细节增强的直方图均衡法，在增强图像对比度的同时还能保留细节细心，避免了细节吞噬现象(Detail enhancement, histogram equalization, but also retained the same time enhance the image contrast details carefully, to avoid the details of phagocytosis)

集成了多种块运动估计算法，对刚接触运动估计算法的同学非常具有参考价值。(Integration of a variety of block motion estimation algorithm for motion estimation algorithm刚接触students have great reference value.)

这是一个sar成像的算法，它融合了cfar的处理，使目标更加凸显。非常适合用于sar成像和cfar算法的研究。(This is a sar imaging algorithm, which combines cfar processing, the target is more prominent. Very suitable for research sar algorithm for imaging and cfar.)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)