matlab-calibration-of-cube

基于小波变换的图像去噪处理，通过学习小波变换的方法实现对图像的去噪处理，达到所预期的效果(Image denoising based on wavelet transform, realize image denoising by wavelet transform learning method, to achieve the desired effect)

图片去噪：对一幅图像加入不同的噪声（随机点噪声、椒盐噪声等），选取不同的方法去噪，比如说邻域平均、中值滤波、图像迭加等，比较对于不同的噪声，不同的方法哪种更好(Image denoising: for an image by adding different noise (random-dot noise, salt and pepper noise, etc.), select a different method of denoising, for example, the neighborhood average, median filter, image superposition and so on, compared for different noise, different methods which better)

相关法求旋转平移图像的旋转角度 转极坐标方法2 另一法见本人另一程序包(Correlation registration method for rotation angle (polar coordinates method 2))

SVM分类用于高光谱遥感图像分类、预测....................(SVM classification for classification and prediction of hyperspectral remote sensing images)

实现信号的离散傅立叶变换和反变换以及滤波，平滑处理(Realize signal discrete Fourier transform and inverse transform, as well as filtering, smoothing treatment)

说明：  MATLAB转化大地坐标与球坐标之间的转化，，其中包含了空间直角坐标系与大地坐标系的转化(Matlab transformation of geodetic and spherical coordinates)

这是基于Tent映射粒子群的交叉熵阈值分割程序。(This is code of method based on Tent particle swarm optimization and cross-entropy.)

说明：  对限制对比度自适应直方图均衡化算法adapthisteq进行了解释。可用于图像增强(Contrast to the limited adaptive histogram equalization algorithm adapthisteq is explained. Can be used for image enhancement)

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).)

粒子滤波算法比较,不同的建议分布下，粒子滤波的性能差异，包括精度与时间(the comparision)