Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms

作者:

Highlights:

摘要

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.

论文关键词:Image processing sequence,Learning,Mathematical morphology,Genetic algorithms

论文评审过程:Received 5 August 1997, Revised 29 June 1998, Accepted 7 July 1998, Available online 7 June 1999.

论文官网地址:https://doi.org/10.1016/S0262-8856(98)00151-6