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https://hdl.handle.net/10216/76802| Author(s): | António Sousa Aurélio Campilho Ana Maria Mendonça Bruno Moreira |
| Title: | Automatic lane segmentation in TLC images using the continuous wavelet transform |
| Issue Date: | 2013 |
| Abstract: | 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. |
| Subject: | Engenharia biomédica, Engenharia electrotécnica, electrónica e informática Biomedical enginnering, Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| URI: | https://repositorio-aberto.up.pt/handle/10216/76802 |
| Document Type: | Artigo em Revista Científica Internacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
This item is licensed under a Creative Commons License
