Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms

Image and Vision Computing

Volumn 17, Issue 10, 1999, Pages 749-760

  Yoda, Ikushi ^a   Yamamoto, Kazuhiko ^b   Yamada, Hiromitsu ^a  

^a ELECTROTECHNICAL LABORATORY   (Japan)

^b GIFU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA ACQUISITION; GENETIC ALGORITHMS; MATHEMATICAL MORPHOLOGY; MATHEMATICAL OPERATORS;

AUTOMATIC ACQUISITION; DILATION; GOAL IMAGE; HIERARCHICAL MATHEMATICAL MORPHOLOGY; IMAGE PROCESSING SEQUENCE; ORIGINAL IMAGE; PARALLEL SEARCHING FUNCTION;

IMAGE PROCESSING;

EID: 0032671283     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(98)00151-6     Document Type: Article

References (10)

1. Gillies AM, An Image Processing Computer which Learns by Example, SPIE Vol. 155 Image Understanding Systems & Industrial Applications, 1978, pp 120-126.
2. Hasegawa J., Kubota H., Toriwaki J., Automated construction of image procedures by sample-figure presentation, Proceedings of 8th International Conference of Pattern Recognition, Paris, France, 1986, pp. 586-588.
3. Yamamoto K, Sakaue K, Matsubara H, Yamagishi K, MIRACLE-IV: Multiple Image Recognition system Aiming Concept LEarning - Intelligent Vision, Proceedings of 9th International Conference of Pattern Recognition, Rome, Italy, 1988, pp. 818-821.
4. Joo H, Haralick RM., Shapiro LG., Toward the Automatic Generation of Mathematical Morphology Procedures Using Predicate Logic, Proceeding of the Third International Conference on Computer Vision, Osaka, Japan, 1990, pp 156-165.
5. Haralick R.M., Sternberg S.R., Zhuang X. Image analysis using mathematical morphology. IEEE Trans. Patt. Anal. Machine Intell. 9:1987;532-550.
6. Vogt R, Automatic generation of morphological set recognition algorithms, Springer Verlag, 1989.
7. Anelli G, Broggi A, Destri G, Toward the Optimal Decomposition of Arbitrarily Shaped Structuring Elements by Means of a Genetic Approach, Mathematical Morphology and its Applications to Image and Signal Processing, Kluwer Academic, 1996, pp 227-234.
8. Dougherty E. Optimal Mean-Square N-Observation Digital Morphological Filters I. Optimal Binary Filters, CVGIP Image Understanding. 55(1):1992;36-54.
9. Holland J, Adaptation in Natural and Artificial Systems, The University of Michigan Press, 1975 and MIT Press, 1992.
10. Goldberg D, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.