An automatic acquisition of hierarchical mathematical morphology procedures by GA

This paper presents a method to obtain an image processing procedure by showing an original image and a target image. There are some preceding works concerns with automatic acquisition of image processing procedures by combining subroutine packages. In our approach, we only use the hierarchical mathematical morphology procedures, i.e., erosion and dilation operations. Since the subroutine packages are macro procedures, we use micro operations for constructing more flexible visual procedures. We use genetic algorithms (GA) to search procedures. Utilizing a parallel searching function of GA and introducing a concept of era, we construct hierarchical procedures of mathematical morphology.

[1]  Robert M. Haralick,et al.  Toward the automatic generation of mathematical morphology procedures using predicate logic , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[2]  Xinhua Zhuang,et al.  Image Analysis Using Mathematical Morphology , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Hitoshi Matsubara,et al.  MIRACLE-IV: multiple image recognition system aiming concept learning-intelligent vision , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[4]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .