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Fusion of Texture Features and SBS Method for Classification of Tobacco Leaves for Automatic Harvesting

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Multimedia Processing, Communication and Computing Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 213))

Abstract

In this paper we propose a new model to classify tobacco leaves for automatic harvesting using feature level fusion. The CIELAB color space model is used to segment leaves from their background. Texture features are extracted from segmented leaves using Haar wavelets and gray level local texture pattern (GLTP) separately. These extracted features are fused using the concatenation rule. Discriminative texture features are then selected using the sequential backward selection (SBS) method. The k-NN classifier is designed to classify tobacco leaves into three classes viz., unripe, ripe and over-ripe. In order to corroborate the efficacy of the proposed model, we have conducted an experimentation on our own dataset consisting of 1,300 images of tobacco leaves captured in sunny and cloudy lighting conditions in a real tobacco field.

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Author information

Authors and Affiliations

  1. Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, 577004, India

    P. B. Mallikarjuna

  2. Department of Studies in Computer Science, Manasagangothri, University of Mysore, Mysore, Karnataka, 570006, India

    D. S. Guru

Authors
  1. P. B. Mallikarjuna
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  2. D. S. Guru
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Corresponding author

Correspondence to P. B. Mallikarjuna .

Editor information

Editors and Affiliations

  1. Master of Computer Applications, PES Institute of Technology, Banashankari 3rd stage, Near Hoskerehalli Cross 100 Feet, Bangalore, 560085, Karnataka, India

    Punitha P. Swamy

  2. Studies in Computer Science, University of Mysore, Manasagangotri, Mysore, 570006, Karnataka, India

    Devanur S. Guru

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Mallikarjuna, P.B., Guru, D.S. (2013). Fusion of Texture Features and SBS Method for Classification of Tobacco Leaves for Automatic Harvesting. In: Swamy, P., Guru, D. (eds) Multimedia Processing, Communication and Computing Applications. Lecture Notes in Electrical Engineering, vol 213. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1143-3_10

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  • DOI: https://doi.org/10.1007/978-81-322-1143-3_10

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1142-6

  • Online ISBN: 978-81-322-1143-3

  • eBook Packages: EngineeringEngineering (R0)

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