filter_base

克里金插值法实现二维和三位等高线的绘制功能,()

基于MATLAB语言模拟复眼成像，同时模拟不同的深度信息(Simulate compound eye imaging based on MATLAB language, and simulate different depth information.)

经典kuan滤波器，用于SAR图像相干斑抑制，提高分类精度。(The classical Kuan filter is used for SAR image speckle suppression and improve classification accuracy.)

说明：  采用模糊C均值聚类算法求到欧式距离和方差，对数据集（特征+标签）进行分类并得到分类准确率(The Euclidean distance and variance are calculated by fuzzy c-means clustering algorithm, and the data set (feature + label) is classified and the classification accuracy is obtained)

包括常用的IHS,PCA 加权图像融合三种算法的Matlab源代码(Which are used in the IHS, PCA-weighted Image Fusion Algorithm three Matlab source code)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

用画笔绘制圆角矩形，椭圆，饼形，并用不同颜色画刷进行填充。(Draw a rounded rectangle, ellipse, pie with a brush, and brush with a different color fill.)

主要功能是实现相机标定，以及实现反投误差，实现特征点的提前。(The main function is to achieve camera calibration and error to achieve the anti-investment, to achieve the feature points in advance.)

对深度图像进行滤波、渲染和着色，更加可视化(depth image visualition and filtering for coming 3D reconstruction)

官方出版的opencv教程，学习opencv必备。(Officially published opencv tutorials are essential for learning.)