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Pacific Rim International Conference on Artificial Intelligence

PRICAI 2012: PRICAI 2012: Trends in Artificial Intelligence pp 552–563Cite as

Building Detection with Loosely-Coupled Hybrid Feature Descriptors

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7458))

Abstract

The paper presents a hybrid approach that ultilizes multiple low-level feature descriptors for performing building detection in 2D images. The proposed method is a symbiosis of two feature descriptors, namely Color and Edge Directivity Descriptor (CEDD) and Fuzzy Color and Texture Histrogram (FCTH) . The use of edge detection, texture and color combined features using fuzzy technique in encoding low-level visual information from images are embedded in the hybridization. First, multiple locations from a target image are chosen in the feature extraction process. Then, a hybridized vector index is proposed for measuring the low-level visual features distance between the target natural images with the training images, allowing a building content to be detected. Size and resolution of the source of images are not restricted in the proposed model and thus it can enhance the computational effectiveness. The empirical assessment, in term of the accuracy in detecting building objects in a set of images, validates the feasibility and potentiality of the proposed techniques.

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Author information

Authors and Affiliations

  1. Artificial Intelligence Center, Mimos Berhad, Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia

    Sieow Yeek Tan, Chin Wei Bong & Dickson Lukose

Authors
  1. Sieow Yeek Tan
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  2. Chin Wei Bong
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  3. Dickson Lukose
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Editor information

Editors and Affiliations

  1. Faculty of Environment, Society and Design, Department of Applied Computing, Lincoln University, P.O. Box 84, 7647, Christchurch, New Zealand

    Patricia Anthony

  2. School of Information Science and Technology, University of Tokyo, 7-3-1, Hongo, 113-8656, Bunkyo-ku, Tokyo, Japan

    Mitsuru Ishizuka

  3. MIMOS Berhad, Knowledge Technology, Technology Park Malaysia,, 57000, Kuala Lumpur, Malaysia

    Dickson Lukose

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© 2012 Springer-Verlag Berlin Heidelberg

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Tan, S.Y., Bong, C.W., Lukose, D. (2012). Building Detection with Loosely-Coupled Hybrid Feature Descriptors. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_49

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  • DOI: https://doi.org/10.1007/978-3-642-32695-0_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32694-3

  • Online ISBN: 978-3-642-32695-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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