Binary robust independent elementary feature features for texture segmentation

Suraya Mohammad, Tim Morris

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Binary Robust Independent Elementary Feature (BRIEF) has been successfully used as an efficient feature point descriptor. It uses can be found in many computer vision application such object recognition and camera localization. This is due mainly to its discriminating ability and computational simplicity as well as invariant to illumination variations. In this paper we use a slightly modify BRIEF descriptor as a method to measure texture and apply them in texture segmentation application. Experiments are conducted on a standard test suite of test images and shows that BRIEF texture features is better and in some cases compare favorably with other established texture measures.

    Original languageEnglish
    Pages (from-to)5178-5182
    Number of pages5
    JournalAdvanced Science Letters
    Volume23
    Issue number6
    DOIs
    Publication statusPublished - 1 Jun 2017

    Keywords

    • BRIEF
    • Image processing
    • Texture analysis
    • Texture descriptors

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