资源列表
matlab_code8
- 小波分析理论与Matlab 7实现matlab源码 最新的！很难找的！ -wavelet analysis theory and Matlab 7 achieve the latest Matlab source! It is very difficult to find!
matlab_code9
- 小波分析理论与Matlab 7实现matlab源码 最新的！很难找的！ -wavelet analysis theory and Matlab 7 achieve the latest Matlab source! It is very difficult to find!
matlab_code11
- 小波分析理论与Matlab 7实现matlab源码 最新的！很难找的！ -wavelet analysis theory and Matlab 7 achieve the latest Matlab source! It is very difficult to find!
icondesignexample
- 用c++ 编写的一个图案设计系统的工程案例,能了解学习许多与图形相关的VC操作.-c prepared with a graphic design system at the case study to understand many of the graphics and VC operation.
humanfacedetectionsystem
- 用C++编写的一个自动人脸检测的工程安例的全部源码,希望能对学习者有所帮助.-prepared by an automatic face detection works on the cases of all source code, in hopes of the learners help.
simplephotoshopwithc
- 用C #编写的一个大型的数字图象处理库的源码,是国外的一个硕士研究课题类容,有些类似于一个简化版的photoshop,对做图象的人来说,非常实用.-C# prepared in a large-scale digital image processing of the source code, of a foreign master's studies class content, similar to a simplified photoshop, Images of people d
vcpinhuachuli
- 采用VC++编写图像平滑方法,包括领域平均,中值滤波等-VC used to prepare image smoothing methods, including field average, median filtering
weicaise
- 伪彩色增强的matlab程序，主要基于空间域灰度级－彩色变换,算法清晰,效果较好. -pseudo-color enhanced Matlab procedures, mainly on the spatial domain gray level-color transformation, the algorithm clear. effective.
matlabbasis
- 程序代码说明 P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像-code P0201 Note : MATLAB assignment P0202
matlabsourcse
- matlab6.5图形图像处理源程序 matlab6.5图形图像处理源程序-matlab6.5 graphic image processing program matlab6.5 graphic image processing program
ExpertPDF-v1.3
- HTML To PDF === Thanks for trying our HTML To PDF converter library. .NET Framework 2.0 is required to be able to use it. In the archive you have downloaded you will find: Bin/ephtmltopdf.dll - this is the dll you will use in your
kMeansCluster
- 关于c均值的经典算法 kMeansCluster-on c-means algorithm classic kMeansCluster