Hazmat sign location detection based on fourier shape descriptors

Conference proceedings article

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Publication Details

Author list: Thongkor K., Pozo A.P., Zhao B., Amornraksa T., Delp E.J.

Publisher: Society for Imaging Science and Technology

Publication year: 2016

ISSN: 2470-1173

eISSN: 2470-1173

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046058851&doi=10.2352%2fISSN.2470-1173.2016.11.IMAWM-459&partnerID=40&md5=cb35c8ad77b420f01944fb84c5dd045c

Languages: English-Great Britain (EN-GB)

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Abstract

In this paper we describe a method for hazardous material (hazmat) sign location detection based on Fourier shape descriptors. The proposed method uses matching from both the magnitude and phase of the Fourier descriptor. The contribution of this paper includes a contour extraction method based on color channel clipping followed by image binarization. The experimental results show that our method is robust to geometric distortion, low resolution, blur, lighting conditions, and perspective. ฉ 2016 Society for Imaging Science and Technology.

Keywords

Color channel clipping, Fourier shape descriptors, Sign location detection