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access icon free Region matching based on colour invariants in rgb orthogonal space

© The Institution of Engineering and Technology
Received 27/01/2015, Accepted 14/12/2015, Revised 01/12/2015, Published 19/02/2016

Illumination influences the performance of region feature matching based on a grey image. A novel region-matching algorithm based on the colour invariants and colour-invariant moments in rgb orthogonal colour space is proposed. First, a colour image is converted in RGB colour space to rgb orthogonal colour space that has colour invariance. Second, the colour invariants H and C λ are calculated. Then, the maximally stable extremal region is extracted from the colour invariants and the colour-invariant moments are computed. Finally, the nearest neighbour method is used to find corresponding regions. The proposed method can take advantage of both the colour and geometric properties of the images to solve the problem of illumination influences. Experimental results from the Amsterdam Library of Object Images database and images captured on the Beijing Forestry University campus show that performance of the proposed algorithm is better than that of prior art methods.

Inspec keywords: image matching; feature extraction; image colour analysis; computational geometry

Other keywords: Amsterdam Library of Object Images database; nearest neighbour method; maximal extremal region stability extraction; colour invariants; Beijing Forestry University campus; region feature matching algorithm; geometric properties; grey image; RGB orthogonal colour space; colour-invariant moments; colour properties

Subjects: Computer vision and image processing techniques; Graphics techniques; Computational geometry; Image recognition

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