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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Bibliographic Details
Published in:	IEEE transactions on computers Vol. C-26; no. 2; pp. 178 - 179
Main Authors:	Blumenthal, Andrew F., Davis, Larry S., Rosenfeld, Azriel
Format:	Journal Article
Language:	English
Published:	IEEE 01.02.1977
Subjects:	Approximation Approximation methods Data mining edge detection image processing pattern recognition Image edge detection Noise measurement Probability density function segmentation Shape
ISSN:	0018-9340
Online Access:	Get full text
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Summary:	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