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

Jagoda Lazarek, Piotr Szczepaniak

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.

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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 - Volume 2: BIOIMAGING, ISBN 978-989-758-353-7, pages 57-64. DOI: 10.5220/0007579000570064


in Bibtex Style

@conference{bioimaging19,
author={Jagoda Lazarek and Piotr 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 - 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 - 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