Abstract
The representation of an image quantity (e.g. zero-crossings) over a range (which may in theory vary continuously) of scales at which the image is perceived. The “scale” concerned is generally the width parameter of a Gaussian function with which the image is convolved; thus at small scales the image detail is faithfully represented and at large scales the detail is blurred as the result tends to the image mean.
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Bundy, A. (1990). S. In: Bundy, A. (eds) Catalogue of Artificial Intelligence Techniques. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97276-8_19
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DOI: https://doi.org/10.1007/978-3-642-97276-8_19
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