资源列表
Image-analysisaPDEs
- 偏微分方程图像处理经典书籍值的一看 入门类书籍-PDE based image processing
Facial Expression Recognition
- 源码简介：ksvd字典学习进行表情识别 对比ksvd字典学习 与最近邻算法对比输出失败率用ksvd字典学习进行表情识.(Source code introduction: ksvd dictionary learning for expression recognition contrast ksvd dictionary learning and nearest neighbor algorithm comparison output failure rate using ksvd dict
Imagesegmentation
- 这是一个图像分割的应用程序。此应用程序不仅演示 Microsoft 基础类的基本使用方法，还可作为您编写应用程序的起点。-this is a programme about image segmentation.it can not be used as a start of your own programme,but also as the usage of learing microsoft foundation class.
NCsp
- 一个非常有用的基于图的超像素算法，用于图像分割，使用时请添加目录-a very useful superpixels algithn based on geraph theory, it can be used for image segmentation, please add file catalogue when used
mexopencv
- matlab对opencv库的调用，编译成功，可以直接使用，里面有安装过程，供大家学习-matlab opencv library call, the compiler is successful, can be used directly, there are installation process for them to learn
test-Images
- 经典图像处理测试图像，非常全，对于研究图像处理的，非常有用。-Classical image processing test image is very wide, for the study of image processing, very useful.
cucaodu
- 通过海面图像的像素颜色值，计算海面图像的纹理粗糙度-Through the image pixel color value, the calculation of sea image texture roughness
matlab高级应用-图形图像处理
- 计算机工程设计与应用开发丛书，matlab高级应用——图形图像处理(Computer engineering design and application development series, matlab advanced application -- graphics and image processing)
my3
- 基于OPENCV的模糊程序，能实现重复次的模糊，基础程序-Based on the fuzzy OPENCV procedures, to achieve repeat times fuzzy, basic procedures
ImageProcessingRecognition
- 基本的数字图象处理的VC++实现,包括反色.拉伸.中值滤波等,另外还包括数字识别系统以及车牌定位等3个案例的代码-Basic digital image processing of VC++ implementation, including the anti-color. Stretching. Median filtering and so on, also including digital license plate recognition system, as well as posi
code
- matlab学习之系列学习1，非常值得学习-Matlab learning series of 1, very worth learning
chepaishibiexitong
- 这是个比较经典的车牌识别资料，很详细，有报告和程序，也有简单和完整版之分，希望对大家有帮助-This is a more classic license plate recognition data, very detailed reports and procedures, there are simple and full version of the points, we want to help ~ ~