Accession Number:

ADA043410

Title:

Threshold Evaluation Techniques.

Descriptive Note:

Technical rept.,

Corporate Author:

MARYLAND UNIV COLLEGE PARK COMPUTER SCIENCE CENTER

Personal Author(s):

Report Date:

1977-04-01

Pagination or Media Count:

108.0

Abstract:

Threshold selection techniques have been used as a basic tool in image segmentation, but little work has been done on the problem of evaluating a threshold of an image. This paper addresses the problem of threshold evaluation and proposes two methods for measuring the goodness of a thresholded image, one based on a busyness criterion and the other based on a discrepancy or error criterion. These evaluation techniques are applied to both synthetic and real images and are shown to be useful in facilitating threshold selection. In fact, both methods usually result in similar or identical thresholds which yield good segmentations of the images. Author

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE