Micro-Doppler-analysis-of-vibrating

分形算法中的分形维数的源代码(Fractal dimension)

用经验模式分解分解出固有模式函数，从而得出瞬时频率和包络，适合进行特征提取(using empirical mode decomposition decomposition patterns inherent function, thereby reaching and instantaneous frequency envelope, suitable for feature extraction)

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)

Image processing of band reject filter and archive particular bit of an 8 bit pixel of an image

利用MATLAB对图像边界内部的部分进行填充，以便后期对图像处理(Using MATLAB within the boundaries of the part of the image to fill, so that the latter part of the image processing)

视网膜血管检测的Gabor变换和机器学习，教程 本教程将演示如何Gabor变换和广义 的线性模型（GLM）可用于视网膜血管检测 图像。 ，我们将尝试检测视网膜血管从 的训练图像，首先，Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定 （独立变量）和容器的位置 为结果（因变量）。( Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial This tutorial will demonstrate how Gabor transforms and generalized linear model (GLM) can be used for detection of retinal vessels in images. Specifically, we will attempt to detect the retinal vessels a training image , by first, convoluting multiple Gabor filters with the image. A GLM will be determined using the Gabor transformed images as features (the independent variables), and the locations of the vessels as the outcome (the dependent variable).)

图像处理中比较有用的二维图像光谱分析，Matlab源代码(Image processing more useful two-dimensional image spectra, Matlab source code)

SAR成像中的RD算法是最经典的校正算法之一，提供的代码有详细的注释和说明，欢迎大家下载学习(RD SAR imaging algorithm is one of the most classical calibration algorithm, the code provided detailed notes and descriptions, are welcome to download the study。)

说明：  基于单幅图的非均匀校正算法，包括OMP和GPSR的重构算法(Nonuniformity correction algorithm based on single image)

图像重建算法当中的FDK、ART和TV算法，以及算法评估的SSIM和MSE的评估代码(FDK, ART and TV algorithms in image reconstruction algorithms, and the evaluation codes of SSM and MSE for algorithm evaluation)