Accession Number:

ADA046451

Title:

Histogram Modification for Threshold Selection.

Descriptive Note:

Technical rept.,

Corporate Author:

MARYLAND UNIV COLLEGE PARK COMPUTER SCIENCE CENTER

Personal Author(s):

Report Date:

1977-08-01

Pagination or Media Count:

38.0

Abstract:

A standard approach to threshold selection for image segmentation is based on locating valleys in the images gray level histogram. Several methods have been proposed that produce a transformed histogram in which the valley is deeper, or is converted into a peak, and is thus easier to detect. The transformed histograms used in these methods can all be obtained by creating gray level, edge value scatter plots, and computing various weighted projections of these plots on the gray level axis. Using this unified approach makes it easier to understand how the methods work and to predict when a particular method is likely to be effective. The methods are applied to a set of examples involving both real and synthetic images, and the characteristics of the resulting transformed histograms are discussed. Author

Subject Categories:

  • Printing and Graphic Arts

Distribution Statement:

APPROVED FOR PUBLIC RELEASE