C Builder图形图像处理（图像特技）包括源代码和文档…

matlab7.x图像处理配套光盘，光盘包括两个文件夹： list文件夹中内容为图像处理常用函数列表。 code文件夹中内容为书中实例源代码，代码说明参见该文件夹下的“程序说明.doc”文件。-Image Processing matlab7.x supporting CD-ROM, CD-ROM includes two folders: list the contents of the folder for the images deal with a list of commonly used functions. code the content folder for the book examples of source code, code description, see the folder under the

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

数字信号处理应用matlab,包含了相关的多个内容，较为经典-Application of digital signal processing matlab, contains a number of related content, the more classic

水平集图像处理方法中fast marching方法，窄带方法及level set方法的JAVA代码-Level set method of image processing fast marching method, narrow-band method and level set methods JAVA code

c#在图像处理的方面的源程序：对图像进行灰度化处理。一个很简单的程序，适合刚刚使用C＃进行图像处理者借鉴～-c# deal with aspects of the image source: gray-scale image processing. A very simple procedure, suitable for just using C# for image processing are drawing ~

进行很好的进行数字图像处理,是图象更清晰! -To carry out a good digital image processing, is the image more clearly!

图像点转换 图像点转换-images converts the image point conversion converts images

稿件名称：基于ObjectARX2004的任意复杂窗口裁剪技术 稿件作者：梅树立1 邢如义2 朱莉3 盛桂花 程序名称：stdafx.h 运行环境：Microsoft Visual C++.net 2002 注意事项： -Manuscript title: Based on the arbitrary ObjectARX2004 complex technical manuscripts cutting window Author: Mei establish one Ru-Yi Xing 2 Julie 3 Sheng Osmanthus Name: stdafx.h operating environment: Microsoft Visual C++. Net 2002 Note:

此软件是基于VC++平台开发的物资管理系统-software platform is based on the development of the VC Material Management System

利用快速傅立叶变换实现了人脸表情图像的Gabor变换的快速算法 针对不同尺度的Gabor小波特征采用不同的下采样因子来对Gabor变换特征进行第一次降维 利用一种改进的核鉴别分析方法对Gabor特征进行二次特征提取-using fast Fourier transform of Facial Expression Gabor transform the image of the fast algorithm for different foot the Gabor wavelet characteristics under different sampling factor to the Gabor transform features the first drop Shalikashvili Improved use of nuclear discriminant analysis method Gabor features second feature extraction