资源列表
bnb
- matlab 实现的整数规划工具箱，用起来挺方便的-Matlab achieve the integer programming toolbox, together with quite convenient
fill_point
- 种子填充算法,先把种子像素如栈,再逐点扫描该点左右边界之间的像素,并置成新的像素,即完成一条扫描线的转换,然后再取上下扫描线并重复上面的过程,即完成填充.-seed filling algorithm, the first seed pixels as stack, then scan the point-by-point about the border between the pixels, home and a new image, namely, the completion of a
Metamill.v4.0
- 学习软件工程的利器，比Rational Rose小巧灵便，支持到UML2.0，学习使用的好工具-learning software engineering tools, Rational Rose compact than agile, support of the UML, a good learning tool
1356demo
- 内容简介：本文档为FTRD-HF810中间层接口参考手册的V1.1版，详细描述了1356reader.dll所提供的所有功能函数接口。目标读者为使用FTRD-HF810读写器进行软件开发的客户。 -Descr iption : This document to FTRD - HF810 middle layer interface reference manual version of V1.1, a detailed descr iption of 1356 reader.dll prov
function1212333
- function 一个函数指针实例 20个字-function examples of a function pointer 20 characters
skinmagic2.2_Crack
- SkinMagic 2.2 Crack [By Fancy] ========================================================================= Caution: Do not use it on business! Copy skinmagic.dll to your project path and overwrite the demo version one. Enjoy!-SkinMagic
catmull-rom
- catmull-rom的源代码 catmull-rom的源代码 -catmull-rom source code c atmul l-rom source code catmull -rom source code c atmull-rom source code
EM_GM
- 混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。-mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.
gg_mle.tar
- 运动检测matlab程序和广义高斯分布的matlab程序-motion detection procedures and Matlab Generalized Gaussian distribution of Matlab procedures
sar
- 几种常见的sar图像去噪方法，比如有frost滤波，lee滤波，卡尔曼滤波等。
MyScript
- 利用脚本控件scr iptCtrl开发的一个脚本运行工具，展现了给MFC程序增加脚本功能的最简单易行的方法。支持多个参数脚本函数。 使用方法见下载文件中的“使用简介.doc” 注意：源码的运行环境为，VS2005下运行-use scr ipt control scr iptCtrl development tools running a scr ipt, MFC demonstrates the procedure to increase the functional scr ipt o
cv_bayesian
- cv阈值去噪方法和贝叶斯阈值去噪方法，这两种方法是很常见的阈值去噪方法。-cv thresholding method and the Bayesian thresholding methods, the two approaches are very common thresholding methods.