Active Contour Detection of Linear Patterns in Spectrogram Images

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Title of host publication19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6
DatePublished - 2008
Pages3350-3353
Number of pages4
PublisherIEEE
Place of PublicationNEW YORK
Original languageEnglish
ISBN (Print)978-1-4244-2174-9

Abstract

This paper proposes an extension to the active contour algorithm for the detection of linear patterns within remote sensing and vibration data. The proposed technique uses an alternative energy force, overcoming the limitations of the original algorithm, which relies upon simple energy formulations to extract intensity and gradient information from an image. We overcome these by forming a noise model, which is used to detect a feature's presence, and by integrating information from several locations within an image to strengthen the detection process.

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© Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Research areas

  • edge detection, feature extraction, geophysical signal processing, remote sensing , contour detection , energy force , feature detection , image gradient information, image intensity extraction , linear pattern , remote sensing , spectrogram

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