Accession Number:

ADA169758

Title:

Low Level Segmentation of Noisy Imagery

Descriptive Note:

Memorandum rept.

Corporate Author:

ROYAL SIGNALS AND RADAR ESTABLISHMENT MALVERN (UNITED KINGDOM)

Personal Author(s):

Report Date:

1986-02-01

Pagination or Media Count:

50.0

Abstract:

A possible approach to image segmentation is first to perform a low- level segmentation. This then allows an original image to be described in terms of a set of simple regions or primitives. Objects in the image may be subsequently recognized by matching these primitives to patterns of primitives in a data base. It is found that current techniques for low-level image segmentation fail when applied to high noise images. An algorithm is presented which overcomes the problems associated with high noise and succeeds in generating low-level segmentations of noisy imagery. The algorithm is shown also to work on low noise data.

Subject Categories:

  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE