Title :
Detecting Natural ``Plateaus´´ in One-Dimensional Patterns
Author :
Blumenthal, Andrew F. ; Davis, Larry S. ; Rosenfeld, Azriel
Author_Institution :
Computer Science Center, University of Maryland, College Park, MD 20742.
Abstract :
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.
Keywords :
Biological cells; Computer science; Force measurement; Image analysis; Image edge detection; Layout; Motion detection; Object detection; Scattering; Shape; Approximation; edge detection image processing pattern recognition; segmentation;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1977.5009298