Automatic lane segmentation in TLC images using the continuous wavelet transform

• Type: Article in International Scientific Journal
• Date: 2013

Authors

António Sousa (Author) FEUP; Aurélio Campilho (Author) FEUP; Ana Maria Mendonça (Author) FEUP; Bruno Moreira (Author) FEUP

Journal

Title: Computational and Mathematical Methods in Medicine

Vol. 2013

Pages: 218415:1-218415:19

ISSN: 1748-670X

Publisher: Hindawi

Indexing

ISI Web of Knowledge - 4 Citations

ISI Web of Science

Scopus - 4 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Biomedical enginnering

Other information

Authenticus ID: P-006-FN6

DOI: 10.1155/2013/218415

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.

Language: English

Type (Professor's evaluation): Scientific

Notes: art. no. 218415

No. of pages: 19