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Reproduce the paper 🔥"An Edge-Less Approach to Horizon Line Detection"🔥

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DCSI

Reproduce the paper 🔥"An Edge-Less Approach to Horizon Line Detection"🔥

The code is used to detect the skyline(the boundary between the sky area and the no-sky area) of the images.First, generate the 16*16 patches as train dataset from the mountain images; Second, train a classifier based on SVM; Third, slide on the test image to get the probability of patches which belong to skyline.

Brief

  • SVM
  • data generate
  • support train and test

Environment

  • python3.6
  • numpy==1.18.1
  • opencv==3.4.2
  • scikit-learn==0.22.1

Result

test.jpg result.jpg

Cite

@INPROCEEDINGS{7424466,
author={T. {Ahmad} and G. {Bebis} and M. {Nicolescu} and A. {Nefian} and T. {Fong}},
booktitle={2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)},
title={An Edge-Less Approach to Horizon Line Detection},
year={2015},
volume={},
number={},
pages={1095-1102},}

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Reproduce the paper 🔥"An Edge-Less Approach to Horizon Line Detection"🔥

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