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Computer Vision Using Fuzzy Logic for Robot Manipulator

Lab. Implementation

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Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

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Abstract

This paper presents a Laboratory implementation of a computer vision using fuzzy logic techniques for the detection of boundaries in images obtained through a camera installed in a robotic arm. Here, these images were captured, digitized and analysed using fuzzy algorithms, in order to used for the control of the robotic arm carrying the camera. The image treatment process uses the method proposed by Pal and Majumder (1987), which employs image enhancement techniques through the use of fuzzy set concepts. The image recognition process generates the control signal necessary to move the robotic arm in a given specific pathway, as well as to determine the next action to be taken at the end of the task.

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Author information

Authors and Affiliations

  1. Depto. de Informática, Escola Técnica Federal de Mato Grosso, Cuiabá, 78.005-390/MT, Brasil

    Adriano Breunig

  2. Depto. de Engenharia Elétrica, Universidade Federal de Uberlândia, 38.400-902/MG, Uberlándia, Brasil

    Haroldo R. de Azevedo

  3. Depto. de Informática, Instituto Luterano de Ensino Superior de Itumbiara, 75.523-200/GO, Itumbiara, Brasil

    Edilberto P. Teixeira & Elmo B. de Faria

Authors
  1. Adriano Breunig
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  2. Haroldo R. de Azevedo
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  3. Edilberto P. Teixeira
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  4. Elmo B. de Faria
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina Regina, S4S 0A2, Saskatchewan, Canada

    Wojciech Ziarko  & Yiyu Yao  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Breunig, A., de Azevedo, H.R., Teixeira, E.P., de Faria, E.B. (2001). Computer Vision Using Fuzzy Logic for Robot Manipulator. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_27

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  • DOI: https://doi.org/10.1007/3-540-45554-X_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

  • eBook Packages: Springer Book Archive

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