资源列表
densecrf-master
- 应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:\Program Files\Anaconda3\Lib\site-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the
Matlab-ACF-LiveTracking-master
- 使用ACF聚合通道特征算法，实现人脸检测(Face detection using ACF aggregation channel feature algorithm)
correspondPixels
- 基于多角度完成图像中去雨的功能，是图像的亮度增加，(The function of removing rain in an image based on multiple angles is that the brightness of the image increases.)
图像拼接
- 运用UI界面，设置了可以多张图片进行拼接，运用了SIFT算法提取特征点，描述特征点生成特征向量，用RANSAC算法进行精匹配，最终完成多种图像拼接
ADMM
- TV Minimization Sparse Reconstruction Algorithms Based on ADMM
matlab_daima
- 读取nc、hdf文件，进行数据分析（趋势分析、逐步线性回归等）(To read nc and hdf and do data analysis.)
MATLAB Digital Image Processing
- matlab图像处理工具包，可以通过学习此文件，熟悉matlab中图像处理操作(MATLAB image processing toolkit, you can learn this file, familiar with image processing operations in MATLAB)
hyper-master
- 用于高光谱异常检测，一种很好的可识别的RX算法(A good recognizable RX algorithm for hyperspectral anomaly detection we need Reduce Dimension by Principal Component Analysis)
Gamma-correction
- 对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness ima
KNN学习
- KNN学习,通过测试集和训练集进行预测KNN学习,(KNN learns to predict through test set and training set)
直线光栅扫描转换算法的实现
- 通过C++实现直线光栅扫描转换算法的示例(Implementation of Linear Grating Scanning Conversion Algorithms)
灰度处理程序
- C#对图像批量灰度化程序，自动提取所选文件夹的全部下级子目录的所有图片，并批量灰度输出(C# Image Batch Graying Program)