Accession Number:

ADA142250

Title:

Morphological Skeleton Representation and Coding of Binary Images.

Descriptive Note:

Technical rept.,

Corporate Author:

GEORGIA INST OF TECH ATLANTA SCHOOL OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1984-01-01

Pagination or Media Count:

5.0

Abstract:

This paper presents a preliminary study on using Mathematical Morphology to represent and code a binary or a grey-tone image by parts of its skeleton, a thinned version of the image. An image can be uniquely decomposed into skeleton, a thinned version of the image. An image can be uniquely decomposed into skeleton components, and then reconstructed by dilating these components. Since, for a certain category of imagery, the skeleton components possess a lower entropy than the original image, a run-length or entropy coding scheme can be used to achieve representation or transmission of the image at a lower information rate than originally required. Author

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE