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彩色图像转为灰度图像，灰度图像的傅里叶低通滤波，彩色图像的傅里叶低通滤波，三种滤波器的三维表示(Transforming a color image to a grayscale image Do low-pass filtering to a grayscale or color image by Fourier transform The three-dimensional representation of three types of filters )

[MATLAB] 安捷伦示波器波形离线FFT分析谐波含量 在现场用示波器记录波形，保存为CSV文件，可以使用本程序进行离线分析。 直流量，交流量，偏移量，谐波次数都可以完美分析。 内含帮助文件，适合MATLAB2009以上([MATLAB] Agilent oscillograph waveform offline FFT analysis of harmonic content Oscillograph waveform is recorded on the scene and saved as CSV file. This program can be used for off-line analysis. Direct flow, AC quantity, offset and harmonic number can be perfectly analyzed. Contain help files, suitable for more than MATLAB2009)

单尺度Retinex算法,ssr算法，matlab程序(Single scale Retinex algorithm, SSR algorithm, matlab program)

winform 多个 饼形图 分析人力资源数据

运用于人脸图像预处理中，主要实现功能有：人脸检测，人脸对齐，人脸图像放缩，人脸剪切。(Applied to the face image preprocessing, the main features are: face detection, face alignment, face image zoom, face cuts.)

Related impulse response analysis algorithm and inspection, There Wavelet Analysis Blind Signal Processing, Energy spectrum analysis and calculation.

基于Sift算法开发商标图案匹配程序，(1)各个CBIR模块及其技术； (2)Sift算法及其在图像匹配、目标识别中的应用； (3)Sift算法在图像检索中的应用。 (Sift algorithm development based on pattern matching program mark (1) Each CBIR module and its technology (2) Sift algorithm and its application in image matching, object recognition application (3) Sift algorithm in image retrieval applications.)

基于遥感光学图像的宽网道路检索，能够快速的实现半自动道路提取，给出种子点对输入方向进行快速检索(Optical remote sensing images based on a wide network of roads retrieval, the realization of fast semi-automatic road extraction, given the input direction of the seed point for rapid retrieval)

图像配准C++版

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)