一些快速纹理映射的例子

图像卡的PCB图，想做图像卡的可以看看，绝对好！！用PADS2005打开-image of the PCB card plans, do images can look at the card, absolutely! ! Opened with PADS2005

object removal在图像处理中的意思是用户可以随意擦去图像中的一个物体，算法可以自动的用背景中的信息补去空洞，达到看不出来是处理过的效果，又叫inpainting，该程序由matlab写成，效果非常好，文档、演示、测试图像均齐全-object removal in image processing means that users can remove images of an object, the algorithm can automatically use the background information to fill empty, reaching out is not to look over the effectiveness of treatment, also known as inpainting, the program by matlab languages, has very good results, documents, presentations, test images have complete

一个图像查看程序的例子，用 Visual Studio 2005 开发，使用的是 Visual Studio 2005 自带的 BMP 类，可以进行格式转换。-An image to view examples of the procedure, using Visual Studio 2005 development, using Visual Studio 2005 built-in BMP category, format conversion can be carried out.

matlab图象应用广泛于图象增强,其中的Retinex图象增强也越来越受到重视,对于彩色图象的处理效果很明显。-Matlab image widely used in image enhancement, The Retinex Image Enhancement also growing in importance for color image effect is obvious.

图像恢复的几个程序，旋转恢复是用vc写的，其余是matlab的，这几个程序比较挑图像，如果一幅效果不好，换一个做，图像恢复程序大都这样。

很不错的小波神经网络人脸检测源码，与大家分享-Very good wavelet neural network face detection source code to share with you

基于活动轮廓模型的图像分割算法，具体算法细节，可以见压缩包中的论文-Based on Active Contour Model of image segmentation algorithm, the details of the specific algorithm, you can see the archive of papers

稀疏光流Demo 此程序是斯坦福大学大牛David Stavens 2007年编写，其中程序注解详尽，配有PPT和PDF讲解图文并茂，非常适合初学者学习使用。本程序基于OpenCV。-Sparse Optical Flow Demo this program at Stanford University David Stavens 2007, prepared beef, including a detailed program notes, with a PPT, and PDF to explain illustrated, ideal for beginners learning to use. The program is based on OpenCV.

计算几何(C描述)第二版教材的配套程序,用C语言实现了本书的主要算法.-Computational geometry (C described) in the second edition of materials matching procedures, using C language to achieve the book

Tamura纹理特征提取程序，matlab编写，通过运行测试无误。另附有pdf介绍Tamura纹理特征定义，希望对大家有帮助。-Tamura texture feature extraction procedures, matlab prepared correctly by running the test. Tamura has attached pdf introduce the definition of texture features, in the hope that everyone has to help.