loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: M. Righi 1 ; M. D’Acunto 2 and O. Salvetti 1

Affiliations: 1 ISTI-CNR, NanoICT Laboratory and Area della Ricerca CNR Pisa, Italy ; 2 ISTI-CNR, ISM-CNR, NanoICT Laboratory and Area della Ricerca CNR Pisa, Italy

ISBN: 978-989-758-094-9

Keyword(s): pattern recognition, image analysis, image segmentation, boundary detection, graph partitioning algorithm

Abstract: Recently, we have suggested a simple and general-purpose method able to combine high-resolution analysis with the classification and identification of components of microscopy imaging. The method named PRIAR (Pattern Recognition Image Augumented Resolution) is a tool developed by the authors that gives the possibility to enhance spatial and photometric resolution of low-res images. The implemented algorithm follows the scheme: 1) image classification; 2) blind super-resolution on single frame; 3) pattern-analysis; 4) reconstruction of the discovered pattern. In this paper, we suggest some improvements of the PRIAR algorithm, in particular, the definition of a segmentation method which is based on homomorphism between a processed image and a graph describing the image itself, able to identify object of interest in complex patterns. The case study is the identification of organs inside biological cells acquired with Atomic Force Microscopy Technique.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.92.164.184

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Righi M., D’Acunto M. and Salvetti O. (2015). PRIAR using a Graph Segmentation Method.In Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015) ISBN 978-989-758-094-9, pages 46-52. DOI: 10.5220/0005461600460052

@conference{imta-515,
author={M. Righi and M. D’Acunto and O. Salvetti},
title={PRIAR using a Graph Segmentation Method},
booktitle={Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)},
year={2015},
pages={46-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005461600460052},
isbn={978-989-758-094-9},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)
TI - PRIAR using a Graph Segmentation Method
SN - 978-989-758-094-9
AU - Righi M.
AU - D’Acunto M.
AU - Salvetti O.
PY - 2015
SP - 46
EP - 52
DO - 10.5220/0005461600460052

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.