Automatic segmentation of lizard spots using an active contour model
Animal biometrics is a challenging task. In the literature, many algorithms have been used, e.g. penguin chest recognition, elephant ears recognition and leopard stripes pattern recognition, but to use technology to a large extent in this area of research, still a lot of work has to be done. One im...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2016-06-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/22936 |
| _version_ | 1827981413572411392 |
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| author | Jhony Heriberto Giraldo-Zuluaga Augusto Enrique Salazar-Jiménez |
| author_facet | Jhony Heriberto Giraldo-Zuluaga Augusto Enrique Salazar-Jiménez |
| author_sort | Jhony Heriberto Giraldo-Zuluaga |
| collection | DOAJ |
| description |
Animal biometrics is a challenging task. In the literature, many algorithms have been used, e.g. penguin chest recognition, elephant ears recognition and leopard stripes pattern recognition, but to use technology to a large extent in this area of research, still a lot of work has to be done. One important target in animal biometrics is to automate the segmentation process, so in this paper we propose a segmentation algorithm for extracting the spots of Diploglossus millepunctatus, an endangered lizard species. The automatic segmentation is achieved with a combination of preprocessing, active contours and morphology. The parameters of each stage of the segmentation algorithm are found using an optimization procedure, which is guided by the ground truth. The results show that automatic segmentation of spots is possible. A 78.37 % of correct segmentation in average is reached.
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| first_indexed | 2024-04-09T22:09:01Z |
| format | Article |
| id | doaj.art-130cdb81641d43b6a8f52f68385fd1cf |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:09:01Z |
| publishDate | 2016-06-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-130cdb81641d43b6a8f52f68385fd1cf2023-03-23T12:30:21ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442016-06-017910.17533/udea.redin.n79a04Automatic segmentation of lizard spots using an active contour modelJhony Heriberto Giraldo-Zuluaga0Augusto Enrique Salazar-Jiménez1University of AntioquiaUniversity of Antioquia Animal biometrics is a challenging task. In the literature, many algorithms have been used, e.g. penguin chest recognition, elephant ears recognition and leopard stripes pattern recognition, but to use technology to a large extent in this area of research, still a lot of work has to be done. One important target in animal biometrics is to automate the segmentation process, so in this paper we propose a segmentation algorithm for extracting the spots of Diploglossus millepunctatus, an endangered lizard species. The automatic segmentation is achieved with a combination of preprocessing, active contours and morphology. The parameters of each stage of the segmentation algorithm are found using an optimization procedure, which is guided by the ground truth. The results show that automatic segmentation of spots is possible. A 78.37 % of correct segmentation in average is reached. https://revistas.udea.edu.co/index.php/ingenieria/article/view/22936active contoursgamma correctionmorphological filtersspots segmentationDiploglossus millepunctatus |
| spellingShingle | Jhony Heriberto Giraldo-Zuluaga Augusto Enrique Salazar-Jiménez Automatic segmentation of lizard spots using an active contour model Revista Facultad de Ingeniería Universidad de Antioquia active contours gamma correction morphological filters spots segmentation Diploglossus millepunctatus |
| title | Automatic segmentation of lizard spots using an active contour model |
| title_full | Automatic segmentation of lizard spots using an active contour model |
| title_fullStr | Automatic segmentation of lizard spots using an active contour model |
| title_full_unstemmed | Automatic segmentation of lizard spots using an active contour model |
| title_short | Automatic segmentation of lizard spots using an active contour model |
| title_sort | automatic segmentation of lizard spots using an active contour model |
| topic | active contours gamma correction morphological filters spots segmentation Diploglossus millepunctatus |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/22936 |
| work_keys_str_mv | AT jhonyheribertogiraldozuluaga automaticsegmentationoflizardspotsusinganactivecontourmodel AT augustoenriquesalazarjimenez automaticsegmentationoflizardspotsusinganactivecontourmodel |