Detecting Natural ``Plateaus'' in One-Dimensional Patterns

A method of detecting natural ``plateaus'' (equals maximal intervals of approximately constant value) in a one-dimensional pattern is described. The method is based on examining neighborhoods of each point having a range of sizes; rejecting neighborhoods of each size for which the standard...

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Vydáno v:IEEE transactions on computers Ročník C-26; číslo 2; s. 178 - 179
Hlavní autoři: Blumenthal, Andrew F., Davis, Larry S., Rosenfeld, Azriel
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.02.1977
Témata:
Approximation
Approximation methods
Data mining
edge detection image processing pattern recognition
Image edge detection
Noise measurement
Probability density function
segmentation
Shape
ISSN:0018-9340
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Shrnutí:A method of detecting natural ``plateaus'' (equals maximal intervals of approximately constant value) in a one-dimensional pattern is described. The method is based on examining neighborhoods of each point having a range of sizes; rejecting neighborhoods of each size for which the standard deviation (of pattern values over the neighborhood) is not a local minimum; and further rejecting any neighborhood N whose subintervals of conparable size do not have mean pattern values approximately equal to that of N.
ISSN:0018-9340
DOI:10.1109/TC.1977.5009298