Definition:Edge detection is a process of transforming an input digital image into an edge map which can be viewed as a line drawing image.
More specifically, edge detection is a process of transforming an input digital image, color or otherwise, into an edge map which can be viewed as a line drawing image with a spatial resolution identical to that of the input (Figure 1) [1], [2], [3]. An intensity edge map corresponds to sudden changes in brightness which tends to occur at object boundaries. The locations of these changes reflect the shapes of objects. The most popular edge operators generate the edge maps by processing information contained in a local image neighborhood as it is determined by an element of support. These operators i) do not use any prior information about the image structure, ii) are image content agnostic, and iii) are localized, in the sense that the detector output is solely determined by the features obtained through the element of support [1], [2], [3].
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References
R. Lukac, K.-N. Plataniotis, A.-N. Venetsanopoulos, R. Bieda, and B. Smolka, “Color Edge Detection Techniques,” In “Signaltheorie und Signalverarbeitung, Akustik und Sprachakustik, Informationstechnik,” W.E.B. Universität Verlag, Dresden, Vol. 29, 2003, pp.21–47.
K.-N. Plataniotis and A.-N. Venetsanopoulos, “Color Image Processing and Applications,” Springer Verlag, Berlin, 2000.
R. Lukac and K.-N. Plataniotis, “Vector Edge Operators for cDNA Microarray Spot Localization,” IEEE Transactions on Nanobioscience, submitted for publication.
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(2006). Edge Detection. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/0-387-30038-4_66
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DOI: https://doi.org/10.1007/0-387-30038-4_66
Publisher Name: Springer, Boston, MA
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