SuperResolution-aided Recognition of Cytoskeletons in Scanning Probe Microscopy Images

Sara Colantonio, Mario D'Acunto, Marco Righi, Ovidio Salvetti

2014

Abstract

In this paper, we discuss the possibility to adopt SuperResolution (SR) methods as an important preparatory step to Pattern Recognition, so as to improve the accuracy of image content recognition and identification. Actually, SR mainly deals with the task of deriving a high-resolution image from one or multiple low resolution images of the same scene. The high-resolved image corresponds to a more precise image whose content is enriched with information hidden among the pixels of the original low resolution image(s), and corresponds to a more faithfully representation of the imaged scene. Such enriched content obviously represents a better sample of the scene which can be profitably used by Pattern Recognition algorithms. A real application scenario is discussed dealing with the recognition of cell skeletons in Scanning Probe Microscopy (SPM) single image SR. Results show that the SR allows us to detect and recognize important information barely visible in the original low-resolution image.

Paper Citation

in Harvard Style

Colantonio S., D'Acunto M., Righi M. and Salvetti O. (2014). SuperResolution-aided Recognition of Cytoskeletons in Scanning Probe Microscopy Images . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 703-709. DOI: 10.5220/0004830407030709

in Bibtex Style

@conference{icpram14,
author={Sara Colantonio and Mario D'Acunto and Marco Righi and Ovidio Salvetti},
title={SuperResolution-aided Recognition of Cytoskeletons in Scanning Probe Microscopy Images},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={703-709},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004830407030709},
isbn={978-989-758-018-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - SuperResolution-aided Recognition of Cytoskeletons in Scanning Probe Microscopy Images
SN - 978-989-758-018-5
AU - Colantonio S.
AU - D'Acunto M.
AU - Righi M.
AU - Salvetti O.
PY - 2014
SP - 703
EP - 709
DO - 10.5220/0004830407030709