Document Detail


Comparison of human performance with algorithms for estimating fractal dimension of fractional Brownian statistics.
MedLine Citation:
PMID:  8320584     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Five standard methods for estimating fractal dimension were compared by means of one-dimensional fractional Brownian series generated by four different algorithms yielding series with different statistics. The same one-dimensional series were also displayed as jagged lines and as one-dimensional luminance patterns for judgments by human observers. Only the algorithm implementing the maximum-likelihood method, which required that the generation statistic for the fractal series be known, gave better performance than human observers in estimating fractal dimension. However, when the method of generation is not known, one of the four other standard methods for estimating fractal dimension must be used, and these performed significantly worse than human observers.
Authors:
T Kumar; P Zhou; D A Glaser
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Journal of the Optical Society of America. A, Optics and image science     Volume:  10     ISSN:  0740-3232     ISO Abbreviation:  J Opt Soc Am A     Publication Date:  1993 Jun 
Date Detail:
Created Date:  1993-08-03     Completed Date:  1993-08-03     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8402086     Medline TA:  J Opt Soc Am A     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1136-46     Citation Subset:  IM; S    
Affiliation:
Department of Molecular and Cell Biology, University of California, Berkeley 94720.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Simulation
Humans
Light
Mathematics
Models, Biological*
Psychophysics
Sensory Thresholds
Visual Perception / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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