mk:cimca99a

Summary

Autopoiesis and Image Processing I: Detection of image structures by using auto-projective operators. Mario Köppen and Javier Ruiz-del-Solar. In Computational Intelligence for Modelling, Control and Automation, pages 66-71, Vienna, Austria, 1999.

Abstract

The theory of Autopoiesis attempts to give an integrated characterization of the nature of the living systems. This article explores the use of autopoietic concepts in the field of Image Processing. Two different approaches are used. The first approach assumes that the organization of an image is represented only by its grayvalue distribution. In order to identify autopoietic organization inside an images' pixel distribution, the steady stateXor-- operation is identified as the only valid approach for an autopoietic processing of images. The effect of its application on images is explored. The second approach, presented in the related article Autopoiesis and Image Processing II: Autopoietic--agents for Texture Analysis,makes use of a second space, the A--space, as the autopoietic processingdomain. This allows for the formulation of adaptable recognition tasks. Based on this second approach, the concept of autopoiesis as a tool for the analysis of textures is explored.

Bibtex entry

@INPROCEEDINGS { mk:cimca99a,
    ABSTRACT = { The theory of Autopoiesis attempts to give an integrated characterization of the nature of the living systems. This article explores the use of autopoietic concepts in the field of Image Processing. Two different approaches are used. The first approach assumes that the organization of an image is represented only by its grayvalue distribution. In order to identify autopoietic organization inside an images' pixel distribution, the steady stateXor-- operation is identified as the only valid approach for an autopoietic processing of images. The effect of its application on images is explored. The second approach, presented in the related article Autopoiesis and Image Processing II: Autopoietic--agents for Texture Analysis,makes use of a second space, the A--space, as the autopoietic processingdomain. This allows for the formulation of adaptable recognition tasks. Based on this second approach, the concept of autopoiesis as a tool for the analysis of textures is explored. },
    ADDRESS = { Vienna, Austria },
    AUTHOR = { Mario Köppen and Javier Ruiz-del-Solar },
    BOOKTITLE = { Computational Intelligence for Modelling, Control and Automation },
    MODIFIED = { 2008-02-28 16:39:23 +0900 },
    EDITOR = { Masoud Mohammadian },
    HASABSTRACT = { Yes },
    PAGES = { 66--71 },
    PDF = { cimca99a.pdf },
    TITLE = { Autopoiesis and Image Processing I: Detection of image structures by using auto-projective operators },
    YEAR = { 1999 },
}