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A morphological gradient approach to color edge detection

Record type: Article

A new color edge detector based on vector differences is proposed. The basic technique gives as its output the maximum distance between the vectors within a mask. When applied to scalar-valued images, the method reduces to the classic morphological gradient. The technique is relatively computationally efficient and can also be readily applied to other vector-valued images. To improve the performance in the presence of noise, a novel pairwise outlier rejection scheme is employed. A quantitative evaluation using Pratt's figure of merit shows the new technique to outperform other recently proposed color edge detectors. In addition, application to real images demonstrates the approach to be highly effective despite its low complexity.

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Citation

Evans, Adrian N and Liu, Xin U (2006) A morphological gradient approach to color edge detection IEEE Transactions on Image Processing, 15, (6), pp. 1454-1463.

More information

Published date: June 2006
Keywords: edge detection, gradient methods, image colour analysis, mathematical morphology
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 262811
URI: http://eprints.soton.ac.uk/id/eprint/262811
ISSN: 1057-7149
PURE UUID: 6839ddfb-c16c-4aae-a33e-9efdc7106b56

Catalogue record

Date deposited: 06 Jul 2006
Last modified: 18 Jul 2017 08:47

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Contributors

Author: Adrian N Evans
Author: Xin U Liu

University divisions


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