SyntheticAlgorithm

提出一种基于非采样contourlet变换的红外与可见光图像融合方法。高频系数结合活性度量和多分辨率系数间相关性来实现加权融合；低频系数通过局部梯度进行活性度量，再采用加权与选择相结合的规则。(Proposed a contourlet transform infrared and visible image fusion method based on non-sampling. The high-frequency coefficient binding activity to measure the correlation between multi-resolution coefficient weighted fusion activity measure low frequency coefficients of the local gradient, and then weighted and selection combining rules.)

SAR复数数据转换，RAW格式数据转换，雷达图像滤波，LEE-sigema滤波，Frost滤波，Gamma-MAP滤波，KUAN滤波，雷达图像几何处理，斜距到地距转换程序。(SAR complex data conversion, RAW format, data conversion, radar image filtering, LEE-sigema filter, Frost filter, Gamma-MAP filtering, KUAN filtering, radar image geometry processing, slant range to ground from the conversion process.)

image processing with opencv

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

用于压缩感知图像处理的matlab代码 包括CoSaMP，GBP，IHT，OMP，BP，SP等算法的代码(matlab codes for image processing applied for compressed sensing，codes including CoSaMP，GBP，OMP，BP，IHT，SP )

基于模拟退火的粒子群算法，主要是将模拟退火得概率问题用于粒子群，使其不易陷入局部最优(Simulated annealing particle swarm algorithm based on simulated annealing was mainly probability for PSO, it is not easy to fall into local optima)

使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法，是机器学习领域最基本的代码，希望大家多多交流(matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges)

说明：  序贯重要性采样——标准粒子滤波算法。可直接使用。(Sequential importance sampling- standard particle filter. Can be used directly.)

提供了基于POCS算法的超分辨率图像重建的源程序，效果较好(POCS algorithm based on super resolution image reconstruction of the source, the effect is good)

直接线性变换DLT，直接由像平面坐标到地面空间坐标的直接变换，可用于量测相机，非量测相机（本人用的是 高速相机）。配合前方交会验证l系数的准确与否。以DLT得到的结果为初值，用光束法平差可以期望得到更高精度。是数字摄影测量课程作业的例子。(Direct linear transformation DLT, and the direct conversion of coordinates directly from the image plane to the ground space coordinates, the camera can be used for measuring the non-measurement camera (I use a high-speed camera). Tie the forward intersection verify l coefficient accurate or not. To the the DLT results obtained for the initial value, bundle adjustment can expect greater accuracy. Examples of digital photogrammetry course work.)