xiangji

一种基于节点密度分割和标签传播的Web页面挖掘方法(A mining based on node density segmentation and labeling dissemination of Web pages)

pso粒子群优化算法程序 加了实现模糊功能的新算法,(Pso (particle swarm optimization algorithm program added a new algorithm of fuzzy functions,)

曲波变换程序包，带有测试图片。请尊重别人的劳动。(Qu Bo transform package, with a test picture. Please respect other people)

用于对图像进行分割的算法的一种，对部分类型图像处理较好 (For the image segmentation algorithm a kind type of image processing on the part of good)

内容为matlab的三维重建程序，达人可进来看，不适合初学者(Matlab says the three-dimensional reconstruction procedures, Tatsu can come watch, not suitable for beginners)

基于暗通道先验的但图像去雾,暗通道先验就是基于这样一个假设：在绝大多数非天空的局部区域里，某一些像素总会有至少一个颜色通道具有很低的值。(Single Image Haze Removal Using Dark Channel Prior.)

对偏振图像进行融合处理。其中包括比较经典的小波变换，ihs垂直变换以及拉普拉斯金字塔变换。。。(The polarization image fusion processing. Including the more classic wavelet transform, ihs vertical transformation and Laplacian pyramid transformation. . .)

一个自由、开源的图形库--FreeImage3.92最新版的中文参考(支持位图构件―例如调色板和数据位―的便易访问；将位图从一种位深度转换到另一种位深度；当有多幅位图页―例如TIFF―时访问位图的不同页；基本的位图处理，如旋转、翻转（flipping）和重采样，或点操作，如亮度和对比度调整；Alpha混合与合成（Compositing and blending）；FreeImage不支持：高级图象处理操作，如回卷（Convolution）和变换（Transform）；位图绘制； 矢量图形。)(a free, revenue graphics library-- the latest version FreeImage3 .92 reference to the Chinese (support bitmap elements- such as transfer shade and data spaces- the easy access; will be from a bitmap-depth conversion to another kind of depth; When a number of bitmap page- such as TIFF- Bitmap to visit the different pages; basic bitmap processing, such as rotation, Upset (flipping) and resampling, or point operations, such as brightness and contrast adjustments; Alpha mixed with the synthetic (Compositing and blending); FreeImage not support : Advanced image processing operation, If the response (Convolution) and transform (Transform); bitmap rendering; Vector graphics.))

视网膜血管检测的Gabor变换和机器学习，教程 本教程将演示如何Gabor变换和广义 的线性模型（GLM）可用于视网膜血管检测 图像。 ，我们将尝试检测视网膜血管从 的训练图像，首先，Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定 （独立变量）和容器的位置 为结果（因变量）。( Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial This tutorial will demonstrate how Gabor transforms and generalized linear model (GLM) can be used for detection of retinal vessels in images. Specifically, we will attempt to detect the retinal vessels a training image , by first, convoluting multiple Gabor filters with the image. A GLM will be determined using the Gabor transformed images as features (the independent variables), and the locations of the vessels as the outcome (the dependent variable).)

rgb转化为lab空间，k-means聚类，基本的图像处理如腐蚀膨胀等，分水岭分割方法分割标记(rgb converted to lab space, k-means clustering, basic image processing such as corrosion expansion, etc., watershed segmentation segmentation mark)