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Issue No.03 - March (2001 vol.23)
pp: 291-296
<p><b>Abstract</b>—Image editing systems are essentially pixel-based. In this paper, we propose a novel method for image editing in which the primitive working unit is not a pixel but an edge. The feasibility of this proposal is suggested by recent work showing that a gray-scale image can be accurately represented by its edge map if a suitable edge model and scale selection method are employed [<ref rid="bibI02911" type="bib">1</ref>]. In particular, an efficient algorithm has been reported to invert such an edge representation to yield a high-fidelity reconstruction of the original image [<ref rid="bibI02912" type="bib">2</ref>], [<ref rid="bibI02913" type="bib">3</ref>]. We have combined these algorithms together with an efficient method for contour grouping and an intuitive user interface to allow users to perform image editing operations (crop, paste, delete) directly in the contour domain. Experimental results suggest that this novel combination of vision algorithms may increase the efficiency of certain classes of image editing operations.</p>
Image editing, edge detection, reconstruction, contour grouping, segmentation.
James H. Elder, Richard M. Goldberg, "Image Editing in the Contour Domain", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.23, no. 3, pp. 291-296, March 2001, doi:10.1109/34.910881
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