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.
Kharittha Thongkor, Albert Parra Pozo, Bin Zhao, Thumrongrat Amornraksa, Edward J Delp, "HAZMAT SIGN LOCATION DETECTION BASED ON FOURIER SHAPE DESCRIPTORS" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World, 2016, https://doi.org/10.2352/ISSN.2470-1173.2016.11.IMAWM-459