mk:iizuka96

Summary

Design of Image Exploring Agent using Genetic Programming. Mario Köppen and Bertram Nickolay. In Methodologies for the Conception, Design, and Application of Intelligent Systems - Proceedings of the 4th International Conference on Soft Computing (IIZUKA'96): 30.September--5.Oktober, 1996, Iizuka, Fukuoka, Japan, pages 549-552. Inernational Fuzzy Systems Association, et al., 1996.

Abstract

An essential goal of image processing is the detection of image structures like objects, object boundaries, shapes, regions or surface defects. This goal can be reached by a combination of detection algorithms and localization algorithms. Detection algorithms are able to recognize the physical evidence of a structure according to a given localization in the image. Localization algorithms cope with the position of image structures in images. Most of them are tracking algorithms. Because of the limited recognition abilities the main goal of the foregoing detection algorithm is to enhance an image object. The image structure must be transformed into a kind of information which is suitable for the localization algorithm. However, in many fields of image processing this approach does not give satisfying results. This paper introduces a new approach by replacing the conventional localization algorithm by an image exploring agent and by adapting its functional design by means of genetic programming.

Bibtex entry

@INPROCEEDINGS { mk:iizuka96,
    ABSTRACT = { An essential goal of image processing is the detection of image structures like objects, object boundaries, shapes, regions or surface defects. This goal can be reached by a combination of detection algorithms and localization algorithms. Detection algorithms are able to recognize the physical evidence of a structure according to a given localization in the image. Localization algorithms cope with the position of image structures in images. Most of them are tracking algorithms. Because of the limited recognition abilities the main goal of the foregoing detection algorithm is to enhance an image object. The image structure must be transformed into a kind of information which is suitable for the localization algorithm. However, in many fields of image processing this approach does not give satisfying results. This paper introduces a new approach by replacing the conventional localization algorithm by an image exploring agent and by adapting its functional design by means of genetic programming. },
    AUTHOR = { Mario Köppen and Bertram Nickolay },
    BOOKTITLE = { Methodologies for the Conception, Design, and Application of Intelligent Systems - Proceedings of the 4th International Conference on Soft Computing (IIZUKA'96): 30.September--5.Oktober, 1996, Iizuka, Fukuoka, Japan },
    MODIFIED = { 2008-02-28 16:49:54 +0900 },
    EDITOR = { Takeshi Yamakawa and Gen Matsumoto },
    HASABSTRACT = { Yes },
    ORGANIZATION = { Inernational Fuzzy Systems Association, et al. },
    PAGES = { 549--552 },
    PDF = { iizuka96.pdf },
    PUBLISHER = { World Scientific Publishing Co. Pte. Ltd., Singapore, New Jersey, London, Hong Kong },
    TITLE = { Design of Image Exploring Agent using Genetic Programming },
    VOLUME = { 2 },
    YEAR = { 1996 },
}