envelopeanalysismatlab-master

基于sift的图片近似拷贝检测技术算法的实现(Sift-based image copy detection technology approximation algorithm)

说明：  可评价影像融合质量，信息熵、标准差、相关系数等(Evaluable image fusion quality, information entropy, etc.)

基于MATLAB的图像处理源程序集，包括阈值、二值化、灰度变化，边缘提取等等(MATLAB based image processing source code set, including threshold, binary, gray scale, edge extraction, etc.)

一个自由、开源的图形库--FreeImage3.92最新版的中文参考(支持位图构件―例如调色板和数据位―的便易访问；将位图从一种位深度转换到另一种位深度；当有多幅位图页―例如TIFF―时访问位图的不同页；基本的位图处理，如旋转、翻转（flipping）和重采样，或点操作，如亮度和对比度调整；Alpha混合与合成（Compositing and blending）；FreeImage不支持：高级图象处理操作，如回卷（Convolution）和变换（Transform）；位图绘制； 矢量图形。)(a free, revenue graphics library-- the latest version FreeImage3 .92 reference to the Chinese (support bitmap elements- such as transfer shade and data spaces- the easy access; will be from a bitmap-depth conversion to another kind of depth; When a number of bitmap page- such as TIFF- Bitmap to visit the different pages; basic bitmap processing, such as rotation, Upset (flipping) and resampling, or point operations, such as brightness and contrast adjustments; Alpha mixed with the synthetic (Compositing and blending); FreeImage not support : Advanced image processing operation, If the response (Convolution) and transform (Transform); bitmap rendering; Vector graphics.))

实例如图所示

将传统的串行均值滤波算法修改为基于CUDA的并行的滤波算法(Modify traditional serial mean filtering algorithm based on CUDA parallel filtering algorithm)

基于Matlab程序的图像细化算法基于Matlab程序的图像细化算法(Matlab program based on the image thinning algorithm based on image thinning algorithm Matlab program)

基于分数阶傅里叶变换的五篇博硕士论文，分别是在数字水印中的应用两篇，图象变换中的应用一篇，滤波中的应用一篇，目标检测中的应用一篇。(Based on Fractional Fourier Transform five Theses, respectively, in the digital watermark in the application of 2, images in the application of a transformation, filtering in the application of a target detection application 1.)

评价图像边界的好坏，FOM值越趋于1质量越好。(figure of merit to objectively evaluate the performance of edge detectors)

通过python第三方库和matlab神经网络工具箱实现人脸识别(Face recognition using MATLAB and python through neural network)