Morphological Filtering Algorithm for Restoring Images Contaminated by Impulse Noise
| Autor: | Miguel Arias-Estrada, Jorge D. Mendiola-Santibañez, Israel Marcos Santillán-Méndez, Martín Gallegos-Duarte, Domingo Gómez-Meléndez, Iván R. Terol-Villalobos, Juvenal Rodríguez-Reséndiz |
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| Rok vydání: | 2015 |
| Předmět: |
Engineering
General Computer Science Pixel Rank (linear algebra) business.industry Morphological filtering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Impulse noise Grayscale Noise Median filter Computer vision Artificial intelligence Noise detection business Algorithm ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Redalyc |
| ISSN: | 2007-9737 1405-5546 |
| DOI: | 10.13053/cys-19-2-1913 |
| Popis: | In this paper a methodology to restore gray scale images with pixels polluted by random impulsive noise is presented. Noise is discovered using a criterion based on the white top-hat by reconstruction. Pixels detected as corrupted are restored using an iterative morphological algorithm built with extensive and antiex- tensive morphological transformations. The proposal is compared with the rank ordered mean filter (ROM) and other morphological transformations reported in the current literature. |
| Databáze: | OpenAIRE |
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