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

Jagoda Lazarek; Piotr S. Szczepaniak

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Paper

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

Topics: Feature Recognition and Extraction Methods; Image Processing Methods; Medical Imaging and Diagnosis

In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOSTEC, 57-64, 2019 , Prague, Czech Republic

Authors: Jagoda Lazarek and Piotr S. Szczepaniak

Affiliation: Institute of Information Technology, Lodz University of Technology, Lodz, Poland

Keyword(s): Image Processing, Pattern Recognition, Image Representation, Graph Grammars, Mammograms, Spiculated Masses.

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 several formats:

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) - BIOIMAGING; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 57-64. DOI: 10.5220/0007579000570064

@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) - BIOIMAGING},
year={2019},
pages={57-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007579000570064},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOIMAGING
TI - Shape Recognition in High-level Image Representations: Data Preparation and Framework of Recognition Method
SN - 978-989-758-353-7
IS - 2184-4305
AU - Lazarek, J.
AU - Szczepaniak, P.
PY - 2019
SP - 57
EP - 64
DO - 10.5220/0007579000570064
PB - SciTePress