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Grouping of Directional Features using an Extended Hough Transform

  • M Carreira
  • , A Sanfeliu
  • , M Mirmehdi
  • , J J Villanueva
  • , B Thomas
  • , M Vanrell
  • , J Haddon
  • , R Alquezar
  • , T Huang
  • , J Serra

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    Abstract

    Directional features extracted from Gabor responses are used as primitives for perceptual grouping. In previous work, we extracted Gabor features in 8 directions and then applied two Self-Organising Maps (SOMs), thus classifying each pixel in the image within a neuron-map, each corner of which represents one of four main directions. In this work we group pixels with similar directional features to detect salient structures within an image. Results obtained from application to forward-looking infrared (FLIR) images are very promising.
    Translated title of the contributionGrouping of Directional Features using an Extended Hough Transform
    Original languageEnglish
    Pages (from-to)1002-1005
    JournalProceedings of the 15th International Conference on Pattern Recognition
    Publication statusPublished - 2000

    Bibliographical note

    ISBN: 0769507506
    Publisher: IEEE Computer Society
    Name and Venue of Conference: Proceedings of the 15th International Conference on Pattern Recognition
    Other identifier: 1000511

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