资源列表
python图像处理
- 本文章讲解了一些基本的关于python的图像的处理，设计裁剪，缩放等操作。(This article explains some basic operations about Python image processing, design clipping, zooming, etc.)
Brief
- python实现的运用brief算法提取特征点的图像拼接(The implementation of Python using brief algorithm to extract feature points of image mosaic)
扩展工具
- EVVI5.4扩展工具 ChinaSatellitesSupport envi_hj1a1b_tools.sav modis_aerosol_inversion.sav envi_curve_fitting.sav MCTK envi_landsat8_lst.sav \classic\save_add\CART envi_vegetation_enhance.sav frame_subset_via_shapefile.sav SetRasterMetadata.task envi_app_s
火焰识别代写
- 此代码用于识别图片中火焰,整体思路为通过对图像的颜色处理找出图中感兴趣区域(可能为火焰的区域)及其 轮廓, 再提取轮廓的几何特征判断是否为火焰(This code is used to identify the flame in the picture. The overall idea is to find out the area of interest (possibly the area of flame) and its contour in the picture through c
完成结果
- 使用matlab 的GUI界面，添加图像锐化增强函数，进行交互式操作(Image sharpening enhancement)
MY_PFH
- 计算激光雷达点云数据的点特征直方图，即PFH特征(calculate point features historm of LIDAR data)
MyCrust
- 对激光雷达点云进行三角剖分，对传统Crust算法进行了改进(Triangulation of LIDAR point cloud)
Retinex-Image-Enhancement-master
- retinex图像增强算法，包含SSR,MSR.MSRCR,MSRCP等算法的实现，用一个gui界面实现，可直接运行(code,m gui_run.fig gui_run.m self_main.m README.md)
IQA评估指标
- IQA评估指标包括PLCC，SROCC，KROCC，PSNR，SSIM (Structural Similarity），MSE (Mean Square Error)，RMSE (Root Mean Square Error) ，信息熵 (Information Entropy)算法(IQA evaluation indicators include PLCC, SROCC, KROCC, PSNR, SSIM (Structural Similarity), MSE (Mean Square
fastGLCM
- Implementation of fast GLCM algorithm.
lane-detect
- 车道线检测，对道路的车道线进行检测，检测道路线(Lane line detection, detect the lane line of the road, detect the road line and extract it)
VISUAL C++数字图像模式识别技术详解
- 这是冯伟兴编著的数字图像方面的专著，书中介绍了用vc++实行图像处理的方法(This book is written by FengWeiXing,published by China Machine Press,introduce method for digital image pattern recognition)