Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms
| Autor: | Kazuhiko Yamamoto, Ikushi Yoda, Hiromitsu Yamada |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Computer science
Subroutine Binary image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Mathematical morphology computer.software_genre Logical connective Signal Processing Image sequence Genetic algorithm Dilation (morphology) Computer Vision and Pattern Recognition Data mining computer Algorithm |
| Zdroj: | Image and Vision Computing. 17:749-760 |
| ISSN: | 0262-8856 |
| DOI: | 10.1016/s0262-8856(98)00151-6 |
| Popis: | This paper presents a method to obtain an image processing procedure by showing an original image and a goal image. There has been previous work concerning automatic acquisition of image processing procedures by combining subroutine packages. In our approach, we do not use any image processing subroutine packages, but use only hierarchical mathematical morphology procedures, i.e. erosion and dilation operators. We use genetic algorithms to search procedures, i.e. erosion and dilation operators. Utilizing a parallel searching function of genetic algorithms and introducing a concept of era, we construct hierarchical procedures of mathematical morphology. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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