Image Segmentation of Multi-shaped Overlapping Objects

Kumar Abhinav, Jaideep Singh Chauhan, Debasis Sarkar

2018

Abstract

In this work, we propose a new segmentation algorithm for images containing convex objects present in multiple shapes with a high degree of overlap. The proposed algorithm is carried out in two steps, first we identify the visible contours, segment them using concave points and finally group the segments belonging to the same object. The next step is to assign a shape identity to these grouped contour segments. For images containing objects in multiple shapes we begin first by identifying shape classes of the contours followed by assigning a shape entity to these classes. We provide a comprehensive experimentation of our algorithm on two crystal image datasets. One dataset comprises of images containing objects in multiple shapes overlapping each other and the other dataset contains standard images with objects present in a single shape. We test our algorithm against two baselines, with our proposed algorithm outperforming both the baselines.

Paper Citation

in Harvard Style

Abhinav K., Singh Chauhan J. and Sarkar D. (2018). Image Segmentation of Multi-shaped Overlapping Objects. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 410-418. DOI: 10.5220/0006628404100418

in Bibtex Style

@conference{visapp18,
author={Kumar Abhinav and Jaideep Singh Chauhan and Debasis Sarkar},
title={Image Segmentation of Multi-shaped Overlapping Objects},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={410-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006628404100418},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Image Segmentation of Multi-shaped Overlapping Objects
SN - 978-989-758-290-5
AU - Abhinav K.
AU - Singh Chauhan J.
AU - Sarkar D.
PY - 2018
SP - 410
EP - 418
DO - 10.5220/0006628404100418
PB - SciTePress