Shape Recognition in High-level Image Representations: Data Preparation and Framework of Recognition Method

Jagoda Lazarek, Piotr S. Szczepaniak

2019

Abstract

The automatic shape recognition is an important task in various image processing applications, including medical problems. Choosing the right image representation is key to the recognition process. In the paper, we focused on high-level image representation (using line segments), thanks to which the amount of data necessary for processing in subsequent stages is significantly reduced. We present the framework of recognition method with the use of graph grammars.

Paper Citation

in Harvard Style

Lazarek J. and Szczepaniak P. (2019). Shape Recognition in High-level Image Representations: Data Preparation and Framework of Recognition Method. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING; ISBN 978-989-758-353-7, SciTePress, pages 57-64. DOI: 10.5220/0007579000570064

in Bibtex Style

@conference{bioimaging19,
author={Jagoda Lazarek and Piotr S. Szczepaniak},
title={Shape Recognition in High-level Image Representations: Data Preparation and Framework of Recognition Method},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING},
year={2019},
pages={57-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007579000570064},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING
TI - Shape Recognition in High-level Image Representations: Data Preparation and Framework of Recognition Method
SN - 978-989-758-353-7
AU - Lazarek J.
AU - Szczepaniak P.
PY - 2019
SP - 57
EP - 64
DO - 10.5220/0007579000570064
PB - SciTePress