Image Feature Extraction of Code

Fast Discrete Curvelet Transform有正反变换,各个程序里面的参数都有详细的说明.(Fast Discrete Curvelet Transform are pros and transform, inside the various parameters have detailed explanations.)

说明：  图像拼接部分的重要程序，绝对有用，毕设的东西(An important part of the image mosaic program, absolutely useful, complete set of things)

对图像进行降采样处理，将原图像变为五分之一大小。(The image down-sampling processing, the size of the original image into a fifth.)

小波多分率分析，用于数字信号和图像处理，噪声的去除(Wavelet analysis multisection rate for digital signal and image processing, noise removal)

说明：  用于MATLAB的支持向量机的工具箱，用于训练与验证(Support vector machine (SVM) for MATLAB toolbox, used for training and validation)

圆锥盒子工具，包括交互功能，可以实现放大缩小旋转等功能。(Tapered tool box, including the interaction capabilities)

图像处理基础、图像运算、图像编码、图像变换、图像增强、图像复原、图像的分割、图像数学形态学处理和小波图像处理(The basis of image processing, image computing, image coding, image transformation, image enhancement, image restoration, image segmentation, image mathematical morphology and wavelet image processing)

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。(simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.)

DCT水印，简单实用，基于8*8分块的DCT域水印嵌入算法水印图像为64*64(DCT watermark, simple and practical, based on the 8* 8 sub-block DCT domain watermark image watermark embedding algorithm is 64* 64)

本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 (The program will combine the SIFT and the edge of image registration is used to make the first detection of the key points with SIFT operator with CANNY edge detection and then select the best match point optimized vector matching image registration.)