资源列表
Image_Classify
- 遥感影像分类的matlab实现(源码+图像)。以及分类后评价(总体精度、Kappa系数、混淆矩阵)。-Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusion matrix).
CLAHE
- 网上下的CLAHE的matlab程序,原先运行有点问题,我修改了下,保证可以通畅运行了。-CLAHE algorithm for image enhancemnt
matlab-3d-reconstruction
- 由图像的灰度,恢复三维物体的形状,包括源程序和图片-By the gray scale image to restore the shape of three-dimensional objects, including source code and pictures
anisodiff
- 本程序实现灰度图像各向异性扩散(滤波算法,可以用于平滑信号,保留边缘,增强边缘对比度。与普通高斯算法相比,它不会平滑边缘的图像-This procedure to achieve gray-scale image anisotropic diffusion (filtering algorithm can be used to smooth the signal, retaining edge, to enhance the edge contrast. With ordinary Gauss
dct
- 利用DCT进行图像压缩(首先将图像分割成8×8的图像,对每个子图像进行DCT,这样每个子图像有64个系数,舍去50%小的变换系数,进行2:1的压缩。)-The use of DCT for image compression
map
- MAP超分辨率重建算法,实现图像的超分辨率重建。-the MAP code for super-resolution
VC用opencv实现的目标跟踪程序
- 一个能捕捉AVI视频中的运动目标并实现定位用opencv实现的目标跟踪程序-AVI video capture of a moving object and the implementation of location tracking with opencv program goals
haze_tool
- 遥感影像去云处理小工具,可直接嵌入ENVI中使用-Cloud remote sensing image to handle small tools, can be directly embedded in the use of ENVI
image_fusion_proforma_evalu_quality
- 这是从网上整理出来的图像融合评价标准,总共有13项性能指标。包括平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 perform
SFLCT_SML_fusion
- 改进拉普拉斯能量和的尖锐频率局部化 Contourlet 域多聚焦图像融合方法-Sum-modified-Laplacian-based Multifocus Image Fusion Method in Cycle Spinning Sharp Frequency Localized Contourlet Transform Domain
Total_variation-regularized
- 总变分正则化超分辨率重建 包括两种范数形式的正则化-Total Variation Regularized super-resolution reconstruction, including two-norm in the form of regularization
fner
- 这是一个专门为菲涅尔衍射设计的一个仿真程序!参考光为平面波!本人测试过,没有问题存在!-This is a design specifically for the Fresnel diffraction of a simulation program! A plane wave reference beam! I tested, no problem!