A Morphological Gradient Approach to Color Edge Detection


Evans, A. N. and Lin, X. U., 2006. A Morphological Gradient Approach to Color Edge Detection. IEEE Transactions on Image Processing, 15 (6), pp. 1454-1463.

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    A morphological gradient approach to color edge detection Evans, A.N.; Liu, X.U.; Image Processing, IEEE Transactions on Volume 15, Issue 6, June 2006 Page(s):1454 - 1463 Abstract: 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 Articles
    CreatorsEvans, A. N.and Lin, X. U.
    Uncontrolled Keywordscolor image processing,edge detection,morphological operations
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    Publisher StatementIEEETIPJune2006.pdf: ©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
    ID Code14915


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