资源列表
face-recognition-with-matlab
- 人脸识别的有效方法，采用maitlab编写并实验验证效果，可靠性好，精度较高-Effective method of face recognition, maitlab prepared and experiments verify the effect, good reliability, high precision
sift
- 这里有sift算法的各种源代码，非常全面。可以达到多种用途。-There are a variety of source code of the sift algorithm, very comprehensive. Can achieve a variety of purposes.
Color-based-image-retrieval
- 用Visual c++实现的基于颜色的图像检索系统-Use Visual c++ to achieve color-based image retrieval system
photo--processing
- 基于visual c++ 6.0的图像处理程序（锐化）-Based on visual c++ 6.0 image processing program (sharpening)
androidUSBCamera
- 这是Android 2.3.4版本的 UVC Camera 测试程序, 使用YUYV格式, (其实 MJPG 格式也是可以用的, 只要我注释掉的那几行代码 uncomment一下就好了) 所使用的 camera 在android 中的设备节点是 /dev/video1 , 做为前置摄像头, 要运行起这个程序可能有点麻烦, 因为我修改了一些不相关的 JAVA 代码, 而要正确编译这个程序, 懂得补充(或者去掉)这些JAVA部分 但是如果使
gdal
- GDAL库的源代码，基于VC++的，是经过编译的源代码，用于图像读取，重采样等图像处理功能的函数库。广泛的用于遥感图像处理。-GDAL library source code, based on VC++, compile the source code for the image read, resample the image processing function library. Widely used in remote sensing image processing.
bmp
- C++语言环境下的bmp图像的读取，存储，显示-Locale under C++ bmp image read, store, display
wavelet
- VC环境下，对图像进行小波分析，可以读取数据，或者加入噪声，进行小波分解和重构-VC environment, wavelet analysis, image data can be read, or by adding noise, the wavelet decomposition and reconstruction
waveletlib
- 文件包含各种不同的小波基，对图像进行分解和重构，其中有haar小波，快速小波，D4等等。-The file contains a variety of wavelet bases for image decomposition and reconstruction, including haar wavelet, fast wavelet, D4.
ImageProcess
- 具有图像处理中一些基本的算法,包括 fft 小波变换，图像增强，图像复原，图像编码，图像配准，运动检测，特征提取，图像分割，图像识别-Some basic image processing algorithms, including the fft wavelet transform, image enhancement, image restoration, image coding, image registration, motion detection, feature extracti
ImageWavelet
- 在vc环境下进行图像处理，包括小波变换，傅立叶变换以及纹理特征提取。-Vc environment for image processing, wavelet transform, the Fourier transform and texture feature extraction.
XIHUA-(2)
- 条纹细化程序，是采用双边对比取最大值的原理进行的图像细化，效果还不错，不过处理前请进行必要的滤波处理。-Striped refinement procedure, using the the bilateral comparison principle of maximum image refinement, the results were pretty good, but necessary filtering process before processing.