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Perimetric Complexity of Binary Digital Images: Notes on Calculation and Relation to Visual ComplexityPerimetric complexity is a measure of the complexity of binary pictures. It is defined as the sum of inside and outside perimeters of the foreground, squared, divided by the foreground area, divided by 4p . Difficulties arise when this definition is applied to digital images composed of binary pixels. In this paper we identify these problems and propose solutions. Perimetric complexity is often used as a measure of visual complexity, in which case it should take into account the limited resolution of the visual system. We propose a measure of visual perimetric complexity that meets this requirement.
Document ID
20110013429
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Watson, Andrew B.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 25, 2013
Publication Date
February 28, 2011
Subject Category
Instrumentation And Photography
Report/Patent Number
ARC-E-DAA-TN3185
Report Number: ARC-E-DAA-TN3185
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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