Color fourier descriptor for defect image retrieval

Authors:
Iivari Kunttu;Leena Lepistö;Juhani Rauhamaa;Ari Visa
Affiliations:
Institute of Signal Processing, Tampere University of Technology, Tampere, Finland;Institute of Signal Processing, Tampere University of Technology, Tampere, Finland;ABB Oy, Process Industry, Helsinki, Finland;Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

The shapes of the objects in the images are important in the content-based image retrieval systems. In the contour-based shape description, Fourier descriptors have been proved to be effective and efficient methods. However, in addition to contour shape, Fourier description can be used to characterize also the color of the object. In this paper, we introduce new Color Fourier descriptors. In these descriptors, the boundary information is combined with the color of the object. The results obtained from the retrieval experiments show that by combining the color information with the boundary shape of the object, the retrieval accuracy can be clearly improved. This can be done without increasing the dimensionality of the descriptor.