icpdianyunchengxu

基于彩色信息的道路图象分割,可以有效的去除道路上的阴影.(Based on color information of the road image segmentation, can effectively remove the shadow on the road.)

基于Harris角点检测的图像拼接matlab实现， 主要内容包括Harris角点检测，NCC,RANSAC以及2幅图像的拼接(A image mosaicing algorithem which based on Harris corner feature detection achieved in matlab. The main contents include the Harris corner detector, the NCC, the RANSAC and two image mosaicing)

改程序是本人编写的，可以运行，采用的是yale人脸数据，采用4*4分块，无权值，统一旋转不变模式(The program is I write, can run, using Yale face data, using the 4* 4 block, has no right to value, uniform &rotation invariant mode)

信息检索和自然语言处理中经常会使用这些参数:准确率（Precision）、召回率（Recall）以及综合评价指标（F1-Measure ） (These parameters are often used in information retri and natural language processing (Precision), recall rate (Recall), and comprehensive uation index (F1-Measure). )

基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)

显著图计算算法FT, SR, LC, HC, RC，以及saliency cut 的合集。(an windows msi for install saliency detection software, which includes the implementation for FT, SR, LC, our HC, RC and saliency cut method.)

建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These contaminants produce a number of complex volumetric scattering effects that must be taken into account when creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We make the assumption that the contaminant is an optically thin layer and construct an analytic model following results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different types of contamination are also important in achieving visual realism. To this end, we measure the spatially varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)

水平集代码和论文，图像分割,快速有效的图像分割方法(code and paper about level set,image segmentation)

这是一个非常经典的特征提取算法，matlab写的2DPCA源码(This is a very classical feature extraction algorithm 2DPCA, matlab source code)

说明：  ENVI软件标准格式的高光谱遥感图像含有两部分：一个是高光谱图像 '*.img '，另一个是遥感图像头文件 '*.hdr'，该文件记录了遥感图像的信息，如图像尺寸、波段数、数据类型和大小端等。如果缺少头文件，将无法对遥感图像进行读取，因此头文件十分重要。 在Matlab中，将利用函数multibandread()对多波段（高光谱/多光谱）图像进行读取。(The hyperspectral remote sensing images of ENVI software standard format contain two parts: one is hyperspectral image'*.img ', the other is the remote sensing image header file'*.hdr', which records the information of remote sensing image, such as image size, band number, data type and size end, etc. If there is no header file, it will not be able to read remote sensing images, so header files are very important. In Matlab, multibandread () is used to read multiband (hyperspectral / multispectral) images.)