资源列表
mymfc
- 基于VS2008和Opencv2.1的MFC程序，可以实现对图片的显示和边缘检测并显示结果-VS2008 and Opencv2.1 based MFC program can be achieved on the picture display and edge detection
yhjtrack
- 用matlab编写的目标跟踪程序，能实现单个目标的跟踪，需要自己选定跟踪目标。 -Matlab prepared by the procedures to achieve a single target tracking, target tracking, target tracking needs to choose. Matlab prepared by the procedures to achieve a single target tracking, target tracking,
DICM
- DICOM 测试文档 包括显式/隐式/RLE压缩/JPG Lossless压缩/多帧/单帧/PalleteColor/Monochrome等各种DCM测试文件 都进行了分类 并且每张都配有详细的信息说明-DCM test files with detailed information
ResizePic1.0
- 自制的图片格式转换小工具1.0版本 实现bmp格式和JPG格式向单通道灰度格式bmp的图片转换，大小尺寸可指定- picture format conversion gadget 1.0 Bmp format and JPG format to achieve the single-channel grayscale image conversion bmp format, sizes can be specified
image-processing-system
- 该图像处理系统是一个典型的图像处理软件，它由图像显示、图像转换、图像处理、字符识别、其他和帮助等几部分组成。-The image processing system is a typical image processing software, which consists of image display, image conversion, image processing, character recognition, and Help.
Digital-Image-Processing
- 经典数字图像处理算法仿真，包括图像的傅里叶滤波及压缩，图像的DCT高通、低通滤波，图像直方图均衡化，图像平滑与锐化，图像的模糊化，哈夫曼编码等，以及GUI图形化界面。-Classic digital image processing algorithm simulation, including Fourier filtering and image compression, image DCT high-pass, low-pass filtering, image histogram equ
Gabor
- Gabor变换用于图像，一种基于Gaboe变换的算法，可以用于参考-Gabor for face
Gaborshibie
- 一种基于Gabor变换的人脸识别方法，可以用于快速人脸识别-Gabor for face detection
Untitled
- Matlab 图片拼接 包内是.m文件，注意图片命名，需要手动配置修改-Matlab image stitching package is.M files, note that the picture naming, the need for manual configuration changes
DCT-watermark-image
- 对载体图像加入水印，并加入干扰噪声，以及提取水印的代码-The carrier image watermarking, and join the interference noise, and the code to extract the watermark
opencv_PCA
- openCV编写的PCA算法人脸识别程序源代码，功能强大，仅供参考-OpenCV PCA algorithm written in face recognition program source code, the powerful, for reference only
image-processing
- 数字水印技术是最近几年兴起的一门新技术, 它主要用于版权保护、信息伪装和并路传输等,并且随着网络技术的普及,.压缩文件里有很多有关图像加密的文章以及相对应的程序！-The original image encounters less loss and there is less loss to watermark information. This arithmetic is effective in digital watermark technique.