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一种新图像的阴影检测方法

  • 资源大小:17.48 MB
  • 上传时间:2021-06-29
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  • 资源积分:1积分
  • 标      签: Matlab

资 源 简 介

The main function of the code is called "process_all.m". If the whole content of the zip-file was extracted, starting this m-file should start the code on the sample image that is provided with the code, running both our method and Tian et al."s method, which both need no additional configuration. In order to test more images, they just need to be added to the folder "./Results/Images/", according to the naming scheme "img_XYZ_vis.png" and "img_XYZ_nir.png" for the visible and NIR image respectively. At the same time, the ground truth mask needs to be put in the folder "./Results/Ground_Truth/", otherwise the evaluation will fail. Guo et al."s method requires some additional configurations, and we guide the interested reader to their readme file that is found in "./guo_paired_regions/README.txt".

文 件 列 表

compute_accuracy.m
compute_mcc.m
f.m
guo_paired_regions
cal_ratio.m
data
deshadow_driver.m
findshadowcut_cross.m
matting
meanshift
models
README.txt
runMatting.m
svmlight_mex
UGM
UGM_Decode_ModifiedCut.m
used_desc
utils
jisuan1.m
process_all.m
Readme.txt
Results
Ground_Truth
Images
valley_hist.m
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