资源列表
zhdct2
- 这个程序是根据离散余弦变换的公式实现的DCT变换程序，能够帮助初学者理解离散余弦变换的过程。-This procedure is based on discrete cosine transform DCT-formula implemented procedures to help beginners understand the discrete cosine transform process.
xiaobobianhuanchengxu
- 这是一个小波变换程序，里面实现了几个经典的小波变换程序，适合学习小波变换的人员进行学习交流。-This is a wavelet transform procedure, which achieved a number of classical wavelet transform procedure, suitable for learning wavelet transform to study the exchange of personnel.
MAPXGPS
- 为了在电子地图中实时地标注GPS的位置等信息, 提出将GPS与GIS进行集成化 开发。以MSCOMM控件为通信接口, MAPX控件为图形平台, 在VB环境下开发了一个GIS 。通过海上实验, 验证了本系统能够实时地精确地标注出地理位置等信息-In order on the electronic map in real-time GPS location information such as marking, proposed to GPS and GIS for integrate
tuxiangchulichengxu
- 程序内包含了大量的图像处理子程序，像离散傅里叶变换，离散余弦变换还有图像编码，图像分割多个方面的内容，值得借鉴。-Program contains a large number of image processing routines, such as discrete Fourier transform, discrete cosine transform still image coding, image segmentation various aspects, it is worth l
MAPX
- 从GPS 技术的定位理论出发, 结合基于GPS 技术的车辆监控管理系统来介绍GPS 接收机与GIS 信息软件 之间的通信原理。并利用M ap InfoM asX 控件在V isualBasic 开发环境中实现了GPS 信息的接收与在GIS 中显示接 收信息的程序设计, 从而示范了常见GPS 应用的主要开发过程和关键部分技术实现细节-From the GPS positioning technology, theory, combined with GPS-based vehicle mo
snrestimationinMRI
- to estimate snr in MRI
DCT
- 一个实用的对8×8的图像做DCT变换的源代码-A practical image of the 8 × 8 to do the source code for DCT-
OpencvUIDlg
- 基于opencv摄像头视频提取，可以保存，截取图像，以上工作均可在对话框中实现-useing vidoe，including grab a frame image，also can save video and image。you can finish these in a MFC dialogbased on opencv
LevelSet
- 一种新型的基于水平集的图像分割算法，附对应的文献还实用例子-A new level set based image segmentation algorithm, with a practical example of the corresponding literature also
picture
- 光子晶体透射率及当电磁波垂直入射的能带结构图-photonic crystals trsmission and reflction band digramm
Display_Optical20070806_01
- 这是一个数字图像处理的实验，有用的东西，希望大家相互学习！-This is a voice signal processing courseware, useful things that I hope we learn from each other!
proj2.release
- 机器学习-人脸识别，根据给定的学习样例，提取特征，生成分类。对测试的样例进行人脸方向的分类。需要在vs中进行开发。-Machine learning- face recognition, according to the given learning sample, extract features, generate classification. The test sample to face the direction of classification. Vs the need to d