图像处理，图像检索，强大的直接应用

一个检索图像库中哪些图像与给出的图像最相似，图像库中图像的格式必须为bird-0009.jpg种形式，示例图像要从图像库中选示例-a library which image and the image is the most similar image library image format for bird-0009.jpg forms, sample images from the image library selected examples

用3330+2020两芯片设计DVB的电原理图，可以直接用-With 3330+ 2020 two DVB chip design electrical schematics, can be directly used

gdal的安装说明，很详细，可以安装成功。GDAL是功能强大的地理信息图像处理库，很多用都会用到，其安装方式多种多样，但未必都能安装成功。-gdal installation instructions, very detailed and can be installed successfully. GDAL is a powerful GIS image processing libraries, a lot of use will be used, the installation of a variety of ways, but not necessarily be able to install successfully.

图象降噪.rar-image noise reduction. Rar

功能描述：该程序给图像处理的平台，实现了图像处理的大部分算法，包括图像变换、图像处理和图像分析，功能丰富，参考性很强。 开发环境：C++ Builder 6.0 所用控件：Sunisoft SuiPack、SDL Component -Functional Description: The program for image processing platform, to achieve the majority of image processing algorithms, including image conversion, image processing and image analysis, feature-rich, highly reference. Development Environment: C++ Builder 6.0 used in the control: Sunisoft SuiPack, SDL Component

ptviewsrc ptviewer时开源的360度全景 -open source ptviewsrc ptviewer when 360-degree panorama

一种方法利用脸和头发的直方图信息将其分割，从而标记脸部区域，再边缘提取，标注眼、嘴、鼻。另一种方法利用相似度计算、积分投影标记人脸区域，从而定位眼、嘴、鼻。-Two_algorithm_for_Face_detection_and_location.rar

一个用MATLAB开发的GUI程序,程序本身是用来进行图像的灰度变换,但是是学习GUI入门编程的好代码,初学者不妨一读-Using MATLAB development of a GUI program, the program itself is used for images of gray-scale transformation, but to learn GUI programming a good entry-code, one may wish to read for beginners

对于灰度图的 k均值算法实现 matlab代码-Gray graphics k-means matlab code

This collection of m-files will only get you through the very bear necessities (Look for the ...) of a single-run fMRI-analysis. Its actual aim is to illustrate the efficacy of spatial regularisation of the autocorrelation esimate in the framework of prewhitening the data to correct for serial correlations in the data, as described in the following paper: Gautama, T. and Van Hulle, M.M. (2004), Optimal Spatial Regularisation of Autocorrelation Estimates in fMRI Analysis, NeuroImage, in press.