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Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform
This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in thr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792535/ https://www.ncbi.nlm.nih.gov/pubmed/24171044 http://dx.doi.org/10.1155/2013/218415 |
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author | Moreira, Bruno Sousa, António Mendonça, Ana Maria Campilho, Aurélio |
author_facet | Moreira, Bruno Sousa, António Mendonça, Ana Maria Campilho, Aurélio |
author_sort | Moreira, Bruno |
collection | PubMed |
description | This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature. |
format | Online Article Text |
id | pubmed-3792535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37925352013-10-29 Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform Moreira, Bruno Sousa, António Mendonça, Ana Maria Campilho, Aurélio Comput Math Methods Med Research Article This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature. Hindawi Publishing Corporation 2013 2013-09-19 /pmc/articles/PMC3792535/ /pubmed/24171044 http://dx.doi.org/10.1155/2013/218415 Text en Copyright © 2013 Bruno Moreira et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Moreira, Bruno Sousa, António Mendonça, Ana Maria Campilho, Aurélio Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform |
title | Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform |
title_full | Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform |
title_fullStr | Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform |
title_full_unstemmed | Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform |
title_short | Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform |
title_sort | automatic lane segmentation in tlc images using the continuous wavelet transform |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792535/ https://www.ncbi.nlm.nih.gov/pubmed/24171044 http://dx.doi.org/10.1155/2013/218415 |
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