Ordered directional monotonicity in the construction of edge detectors
| Autor: | Radko Mesiar, Cedric Marco-Detchart, Julio Lafuente, Javier Fernández, Jesus M. Pintor, Humberto Bustince, Edurne Barrenechea |
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| Přispěvatelé: | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities, Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas, Universidad Pública de Navarra. Departamento de Ingeniería, Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila, Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Edge detector Logic Detector Directional monotonicity ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Monotonic function 02 engineering and technology Ordered directionally monotone function Edge (geometry) Grayscale 020901 industrial engineering & automation Monotone polygon Construction method Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Edge detection Consensus image Algorithm Mathematics |
| Zdroj: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname |
| ISSN: | 0165-0114 |
| DOI: | 10.1016/j.fss.2020.07.002 |
| Popis: | In this paper we provide a specific construction method of ordered directionally monotone functions. We show that the functions obtained with this construction method can be used to build edge detectors for grayscale images. We compare the results of these detectors to those obtained with some other ones that are widely used in the literature. Finally, we show how a consensus edge detector can be built improving the results obtained both by our proposal and by those in the literature when applied individually. This work was supported by the Slovak Research and Development Agency through grant APVV-18-0052 and the Grant Agency of the Czech Republic, through grant GACR 1806915S, and by the Spanish Government through project PID2019-108392GB-I00 (AEI/FEDER, UE) . |
| Databáze: | OpenAIRE |
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