https://github.com/choyingw/buildingoutline

ICIP 2019 paper
https://github.com/choyingw/buildingoutline

building building-outline computer-vision edge-detection-algorithm icip image-processing l0-gradient-smoothing salient-regions semantic-segmentation

Last synced: 26 days ago
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ICIP 2019 paper

• Host: GitHub
• URL: https://github.com/choyingw/buildingoutline
• Owner: choyingw
• License: apache-2.0
• Created: 2019-06-06T06:10:33.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-08-30T04:54:03.000Z (over 5 years ago)
• Last Synced: 2024-11-06T12:58:57.616Z (2 months ago)
• Topics: building, building-outline, computer-vision, edge-detection-algorithm, icip, image-processing, l0-gradient-smoothing, salient-regions, semantic-segmentation
• Language: MATLAB
• Homepage:
• Size: 27.9 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Salient-Building-Outline-Enhancement-and-Extraction-Using-Iterative-L0-Smoothing-and-Line-Enhancing

ICIP 2019 paper

For the original Pasadena building image, please visit http://www.vision.caltech.edu/html-files/archive.html

For the groundtruth annotation, please visit http://www-scf.usc.edu/~choyingw/

In this repo, we provide some samples from Google Maps and their generated mask. We use training data of ADE20K (https://github.com/CSAILVision/sceneparsing) to train networks of semantic segmentation. Also some pretrained models are available here (https://github.com/CSAILVision/sceneparsing)

Please run the main.m for demo.

If you find this work useful, please consider cite our work

	@article{wu2019salient,

	title={Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing},

	author={Cho-Ying, Wu and Ulrich, Neumann},

	booktitle={ICIP}

	year={2019},

	publisher={IEEE}

	}