资源列表
VisualC++图像处理光盘
- vc数字图象处理源码，基本的图象操作其中没有jpeg的编码。适合初学者。-vc-source digital image processing, the basic operation of which no image jpeg coding. For beginners.
SSE 优化的小波解码
- 提供了SSE优化的小波解码过程，让使用者充分体现小波的解码质量和速度，达到良好的实际应用效果。-SSE optimization for the process wavelet codec, allows users to fully embody the wavelet codec quality and speed to good effect in practical applications.
97小波变换源程序
- 7wave.c是小波变换的源程序程序,97wave.exe是用Lccwin32编译的可执行文件,lena512.raw是测试图像数据，可用potoshop打开,97.bat是可直接执行的批处理文件.希望对小波变换的同仁有所帮助！ -7wave.c wavelet transform is the source procedures 97wave.exe is Lccwin32 compiler executable file lena512.raw test image data can b
分形算法
- 利用OpenGL制作的3维旋转分形效果，提供定时器方式和线程方式。-produced by the use of OpenGL 3D fractal rotating effect, the timer mode and threads.
Hough变换我之VC版(何斌版提取)
- hough变换的vc演示,由何斌的随书光盘提取而成.-Hough Transform vc demonstration by HE the CD with the book extract derived.
图像旋转和边缘提取
- 基本的图像处理方法：灰度图像，二值图像，提取边缘，图像旋转-basic image processing methods : gray-scale images, two binary images, edge extraction, image rotation
共生矩阵
- 基于灰度共生矩阵的图像检索：用灰度共生矩阵提取图像的纹理特征进行检索-Gray symbiotic matrix based Image Retrieval : Gray symbiotic matrix extract the texture characteristics Search
K聚类
- 基于K均值聚类的图像检索：用K均值聚类方法提取图像特征进行检索-K-means clustering - based Image Retrieval : K-means clustering method of extracting image features Search
分块代表色
- 基于分块代表色的图像检索：固定划分图像，提取每个分块的代表色作为特征-Block-based representative color image retrieval : fixed classified images from each block of color as representative of
颜色矩
- 基于颜色矩特征的图像检索：首先RGB颜色空间转换到HSV颜色空间；针对HSV三个分量计算颜色矩作为图像的内容特征；计算查询图像与图像库中每幅图像的相似距离，排序后给出检索结果。-Moment features based on color image retrieval : First RGB color space conversion to HSV color space; Three weight against HSV color calculated moments as images
glutdlls36
- OPENGL图形开发库，含有运行时动态库及头文件，windows平台。版本：3.6-OpenGL graphics library, containing dynamic run-time libraries and header files, windows platform. Version : 3.6
houghIE
- hough 变换的实现。程序中有注释。使用者可以自己在vc 中实现该功能。-Hough transform is realized. Notes procedures are. Users can vc in achieving the feature.