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Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform
Joint Authors
Sousa, António
Mendonça, Ana Maria
Campilho, Aurélio
Moreira, Bruno
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-19
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Moreira, Bruno& Sousa, António& Mendonça, Ana Maria& Campilho, Aurélio. 2013. Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-455493
Modern Language Association (MLA)
Moreira, Bruno…[et al.]. Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-19.
https://search.emarefa.net/detail/BIM-455493
American Medical Association (AMA)
Moreira, Bruno& Sousa, António& Mendonça, Ana Maria& Campilho, Aurélio. Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-455493
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455493