Definition
Scalar (monochrome) edge detection may not be sufficient for certain applications since no edges will be detected in gray value images when neighboring objects have different hues but equal intensities; in these cases vector edge detectors must be applied.
Psychological research on the characteristics of the human visual system reveals that color plays a significant role in the perception of edges or boundaries between two surfaces [1–3]. Scalar (monochrome) edge detection may not be sufficient for certain applications since no edges will be detected in gray value images when neighboring objects have different hues but equal intensities. Objects with such boundaries are treated as one big object in the scene. Since the capability to distinguishing between different objects is crucial for applications such as object recognition, image segmentation, image coding, and robot vision, the additional boundary information provided by color is of paramount importance.
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References
R. Lukac, B. Smolka, K. Martin, K.-N. Plataniotis, and A.-N. Venetsanopulos, “Vector Filtering for Color Imaging,” IEEE Signal Processing Magazine, Vol. 22, No. 1, January 2005, pp. 74–86.
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,” Vol. 29, W.E.B. Universität Verlag, Dresden, 2003, pp.21–47.
K.-N. Plataniotis and A.-N. Venetsanopoulos, “Color Image Processing and Applications,” Springer, Berlin, 2000.
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© 2008 Springer-Verlag
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(2008). Vector Edge Detectors. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_237
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DOI: https://doi.org/10.1007/978-0-387-78414-4_237
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