A morphological gradient approach to color edge detection

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


[img] PDF
Download (5Mb)


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.

Item Type: Article
ISSNs: 1057-7149
Related URLs:
Keywords: edge detection, gradient methods, image colour analysis, mathematical morphology
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 262811
Accepted Date and Publication Date:
June 2006Published
Date Deposited: 06 Jul 2006
Last Modified: 27 Mar 2014 20:06
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/262811

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics