资源列表
GraphicProcessSampleCode
- C++图形图象类代码，有助于学习掌握基本的C++数字图像处理技术。 值得学习和参考。-graphics category C code, to study and master the basic C digital image processing technology. Worth learning and reference.
pwlib_1_5_6
- C++编译OpenH323代码的辅助包，有助于学习掌握基本的OpenH323技术。 值得学习和参考。-C compiler code OpenH323 support package, contribute to the learning and mastering the basic technology of OpenH323. Worth learning and reference.
flexbison-1.58
- C++编译xvid/mpeg4代码的辅助包，有助于学习掌握基本的xvid/mpeg4技术。 值得学习和参考。-C compiler code xvid/mpeg4 support package, contribute to the learning and mastering the basic xvid/mpeg4 technology. Worth learning and reference.
bison-1.876.tar
- C++编译xvid/mpeg4代码的辅助包，有助于学习掌握基本的xvid/mpeg4技术。 值得学习和参考-C compiler code xvid/mpeg4 support package, contribute to the learning and mastering the basic xvid/mpeg4 technology. Worth learning and reference
拉普拉斯锐化
- 拉普拉斯锐化（边缘检拉普拉斯锐化（边缘检测）.rar测）.rar拉普拉斯锐化（边缘检测）.rar-Laplacian sharpening (Frederick Laplacian sharpening edge (edge detection). Rar test). Rar Laplace Sharpening (edge detection). rar
MYDID
- 该程序主要是利用了VC++和MATLAB实现了方块编码色转灰度图-the program is mainly used VC and MATLAB the box color to the gray level coding
NECdigitalwatermark
- 经典数字水印算法，包括GUI实现 可直接运行-classic digital watermarking algorithm, including the realization of GUI can run
Jpeg2000Gui
- JPEG2000matlab实现 最新的图像压缩标准-JPEG2000matlab achieve the latest image compression standard
noseecluster
- 聚类分析技术有着广泛应用.因为在对图像进行聚类分析时,通常缺少可资利用的先验知识,所以需要采用无监督的聚类算法.为了适应图像检索的需要,提出了一种新型的无监督聚类方法,即根据离群点信息来自动确定聚类算法的终止时机.此方法还弥补了现有聚类算法在离群点识别、使用上的缺欠.为验证其可行性,用其改进了CURE和ROCK两个经典算法.实验表明,改进后的两个算法都能自动终止,并能取得优于以往的聚类效果. -clustering analysis techniques have wide applicatio
rm52i
- AVS的测试模型，是2006年12月份出来的。欢迎下载。-the test model, in December 2006 fleet. Welcome to download.
bjnhkz
- 实现边界随机微分方程拟合控制，程序可在MATLAB环境下运行-achieve stochastic differential equations fitting border control procedures in the operating environment MATLAB
bianjieyouhua
- 使用遗传算法实现一维边界局部优化，程序可在MATLAB环境下运行-use of genetic algorithm to achieve a peacekeeping borders local optimization process will be run under MATLAB