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Automatic Calculation of Body Mass Index Using Digital Image Processing

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Applied Computer Sciences in Engineering (WEA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 916))

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Abstract

In this paper we present a vision system to detect BMI from images. The proposed system segments the image and extracts the most important features, from these features a classifier is trained. An analysis of the results with different classification techniques is presented in the experimental results. The results show that the system can obtain good classification accuracies using images under controlled conditions.

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Author information

Authors and Affiliations

  1. Posgrado e Investigación, UAEMEX (Autonomous University of Mexico State), 56259, Texcoco, Mexico

    Juan D. J. Amador, Josué Espejel Cabrera, Laura D. Jalili & José S. Ruiz Castilla

  2. Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, C.P. 07738, Mexico City, Mexico

    Jared Cervantes

Authors
  1. Juan D. J. Amador
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  2. Josué Espejel Cabrera
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  3. Jared Cervantes
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  4. Laura D. Jalili
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  5. José S. Ruiz Castilla
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Corresponding author

Correspondence to Jared Cervantes .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Juan G. Villegas

  3. Department of Electronics and Telecomunications Engineering, University of Antioquia, Medellín, Colombia

    Juan Rafael Orozco-Arroyave

  4. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Pablo Andres Maya Duque

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Amador, J.D.J., Espejel Cabrera, J., Cervantes, J., Jalili, L.D., Ruiz Castilla, J.S. (2018). Automatic Calculation of Body Mass Index Using Digital Image Processing. In: Figueroa-García, J., Villegas, J., Orozco-Arroyave, J., Maya Duque, P. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-00353-1_28

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  • DOI: https://doi.org/10.1007/978-3-030-00353-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00352-4

  • Online ISBN: 978-3-030-00353-1

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