Object identification based on deformable templates and genetic algorithm

M. A. Moni, A. B.M. Shawkat Ali

    Research output: Book chapter/Published conference paperConference paperpeer-review

    1 Citation (Scopus)

    Abstract

    In this paper, an algorithm is described which detects and localizes shapes in grayscale images. Deformable templates are often employed to model the geometry of the object to be found in an image. There are several methods to find the optimal placement and deformation of the template onto the image. A genetic algorithm is designed which takes the object template and processed grayscale image and locates the object in the image, invariant to rotation, translation and scale. The limitations of processing the image before running the Genetic Algorithm (GA) are discussed.

    Original languageEnglish
    Title of host publication2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009
    Pages114-117
    Number of pages4
    DOIs
    Publication statusPublished - 2009
    Event2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 - Beijing, China
    Duration: 24 Jul 200926 Jul 2009

    Publication series

    Name2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009

    Conference

    Conference2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009
    Country/TerritoryChina
    CityBeijing
    Period24/07/0926/07/09

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