Machine vision applied to highly variable objects

Hernando Fernandez-Canque, Sorin Hintea, Roberto Ramirez-Iniguez, Ali Ahmadinia, G. Csipkes, D. Csipkes

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The work presented in this paper addresses Machine Vision (MV) applications to objects of ill defined shape, size, colour or texture. Development
    of Machine Vision through the years from its origin in the 1950’s to date is analysed and their progress and trends are discussed. The paper concentrate in
    the small number of MV applications to object of high variability, it discusses and present solutions to main problems associated with the MV application to
    this type of objects. The problem of autofocus and problems associated with changes in illumination are discussed in details and solutions presented. The
    paper present and discuss general software architecture for MV applications. Two examples of this type of applications are presented: detection of microorganism in water and detection of suspicious activity in humans.
    Original languageEnglish
    Title of host publicationKnowledge-based and Intelligent Information and Engineering Systems
    Subtitle of host publication15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part III
    Place of PublicationBerlin Heidelberg
    PublisherSpringer
    Pages472-482
    Number of pages11
    ISBN (Electronic)978-3-642-23854-3
    ISBN (Print)978-3-642-23853-6
    DOIs
    Publication statusPublished - 2011

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume6883
    ISSN (Print)0302-9743

    Keywords

    • machine vision
    • image processing
    • human posture recognition

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