Comparative image filter-ing using monotonic morphological operators
| Autor: | A. Yu. Rubis, M. A. Lebedev, O. V. Vygolov, Yu. V. Vizilter, S. Yu. Zheltov |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
image filtering
0209 industrial biotechnology Computer science business.industry background normalization ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Monotonic function Pattern recognition 02 engineering and technology lcsh:Q350-390 Atomic and Molecular Physics and Optics Computer Science Applications Image (mathematics) 020901 industrial engineering & automation image morphology 0202 electrical engineering electronic engineering information engineering lcsh:Information theory lcsh:QC350-467 020201 artificial intelligence & image processing mathematical morphology Artificial intelligence Electrical and Electronic Engineering business Morphological operators lcsh:Optics. Light |
| Zdroj: | Компьютерная оптика, Vol 42, Iss 2, Pp 306-311 (2018) |
| ISSN: | 2412-6179 0134-2452 |
| Popis: | In a previous work, we proposed a Comparative Morphology (CM) construction scheme that generalized Pytyev's Morphological Image Analysis approach onto a wider range of practical image comparison applications. Within a Guided Contrasting framework, a filtering procedure and a related change detection algorithm were developed. In this work, we propose a class of CM filtering in which Mathematical Morphology operators introduced by Serra are used as smoothing operators that offer monotonically non-increasing (non-decreasing) filtering, in contrast to linear diffusion filtering and non-linear median filtering. The results of experiments on change detection based on the new CM filtering are discussed in comparison with other morphological procedures. |
| Databáze: | OpenAIRE |
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