Fngprnt

傅里叶变换及其逆变换的基于VC6.0实现(Fourier transform and its inverse transform)

里面有注释，还有sift和surf的比较(There are notes, there are more sift and surf the)

sift角点检测及匹配，在不同尺度空间下的角点检测方法，很方便实用。(sift corner detection and matching, the corner detection methods under different scales of space, it is convenient and practical.)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

一个全面的图像处理平台，基本上具有教课书上所说的所有图像处理算法，并附带一些关键算法！()

基于alpha matting的抠图技术(Alpha matting based matting techniques)

图像增强，包括图像的平滑、锐化、边缘识别等操作(Image enhancement, including image smoothing, sharpening, edge detection and other operations)

用Canny算子提取边缘 用Canny算子提取边缘(Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction)

96个蛮实用的PNG格式图标 仅供编程或图像处理使用。(96 pretty practical PNG format icon super practical!)

说明：  傅立叶变换在图像处理中的重要作用： (A) 图像增强与图像去噪 绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘； (B) 图像分割与边缘检测 提取图像高频分量 (C) 图像特征提取 形状特征：傅里叶描述子 纹理特征：直接通过傅里叶系数来计算纹理特征 其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性 (D ) 图像压缩 可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换； (Fourier transform in the important role of image processing: (A) image enhancement and image denoising Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image (B) Image segmentation and edge detection High frequency components extracted image (C) image feature extraction Shape features: Fourier descriptors Texture: directly through the Fourier coefficients to calculate the texture features Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance (D) image compression Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation 朗读显示对应的拉丁字符的拼音)