mk:flsi01

Summary

Genetic Programming based Texture Filtering Framework. Mario Köppen and Bertram Nickolay. In Pattern Recognition in Soft Computing Paradigm, pages 275-304.World Scientific, , 2001.

Abstract

A framework is presented, which allows for the automated generation of texture filters by exploiting the 2D-Lookup algorithm and its optimization by evolutionary algorithms. To use the framework, the user has to give an original image, containing the structural property-of-interest (e.g. a surface fault), and a binary image (goal image), wherein each position of the structural property-of-interest is labeled with the foreground color. Doing so, the framework becomes capable of evolving the configuration of the 2D-Lookup algorithm towards a texture filter for the structural property-of-interest. Genetic programming (GP) is used as the evolutionary algorithm. For this GP approach, a filter generator derives two operations based on formal superoperators from the tree, which represents an individual of the evolving population. The specification of the 2D-Lookup matrix is performed by a relaxation technique. The approach will be demonstrated on texture fault examples.

Bibtex entry

@INCOLLECTION { mk:flsi01,
    ABSTRACT = { A framework is presented, which allows for the automated generation of texture filters by exploiting the 2D-Lookup algorithm and its optimization by evolutionary algorithms. To use the framework, the user has to give an original image, containing the structural property-of-interest (e.g. a surface fault), and a binary image (goal image), wherein each position of the structural property-of-interest is labeled with the foreground color. Doing so, the framework becomes capable of evolving the configuration of the 2D-Lookup algorithm towards a texture filter for the structural property-of-interest. Genetic programming (GP) is used as the evolutionary algorithm. For this GP approach, a filter generator derives two operations based on formal superoperators from the tree, which represents an individual of the evolving population. The specification of the 2D-Lookup matrix is performed by a relaxation technique. The approach will be demonstrated on texture fault examples. },
    AUTHOR = { Mario Köppen and Bertram Nickolay },
    BOOKTITLE = { Pattern Recognition in Soft Computing Paradigm },
    CHAPTER = { 12 },
    MODIFIED = { 2008-02-28 15:38:39 +0900 },
    EDITOR = { Nikhil R.~Pal },
    HASABSTRACT = { Yes },
    PAGES = { 275--304 },
    PDF = { flsibook2001.pdf },
    PUBLISHER = { World Scientific },
    SERIES = { FLSI Soft Computing Series - Vol. 2 },
    TITLE = { Genetic Programming based Texture Filtering Framework },
    YEAR = { 2001 },
}