yalibiao

基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

地震剖面代码,横坐标是时间，纵坐标是道数.(Seismic code, the abscissa is the time, the ordinate is the number.)

基于图像的纹理特征参数的MVA的提取，该方法使用方便，理解简单。(Image-based texture feature extraction parameters of MVA, the method easy to use, easy to understand.)

实现图像文件（如bmp等）的读取、显示、真彩图转换成灰度图、灰度图转化为二值图及绘制图像直方图功能。(Achieve an image file (such as bmp, etc.) to read, display, true color conversion to grayscale, converted to grayscale and binary image histogram function to draw the image.)

基于小波变换的图像融合程序，低频采用加权平均，高频采用能量最大准则。(Based on wavelet transform image fusion program, low-weighted average, using high-frequency energy is the biggest criteria.)

自编语谱图函数，可实现基本的spectrogram功能(Self compiled spectral function, which can implement basic spectrogram functions)

说明：  一款实用的滤波器设计软件，有助于自行设计滤波器时作参考 (A practical filter design software, will help to design filters for reference)

介绍Opencv这个图像处理库环境下的GMM建模与EM算法，从数学的角度深入分析高斯建模和EM算法(Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm)

数字图像处理，包括图像的卷积，相关，线性滤波处理，边缘检测都是运用labview来完成的。(Digital image processing, including images, linear convolution, filter, edge detection is accomplished using labview)