Vector Edge Detectors. Furht, B., editor In Encyclopedia of Multimedia, pages 889–890. Springer US, 2008. 00000Paper abstract bibtex DefinitionScalar (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. ...
@incollection{furht_vector_2008,
title = {Vector {Edge} {Detectors}},
copyright = {©2008 Springer-Verlag},
isbn = {978-0-387-74724-8 978-0-387-78414-4},
url = {http://link.springer.com/referenceworkentry/10.1007/978-0-387-78414-4_237},
abstract = {DefinitionScalar (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. ...},
language = {en},
urldate = {2016-05-03},
booktitle = {Encyclopedia of {Multimedia}},
publisher = {Springer US},
editor = {Furht, Borko},
year = {2008},
note = {00000},
pages = {889--890}
}
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