Accession Number:

AD0767695

Title:

Scene Analysis Using a Semantic Base for Region Growing

Descriptive Note:

Technical rept.

Corporate Author:

STANFORD UNIV CA DEPT OF COMPUTER SCIENCE

Personal Author(s):

• Yakimovsky, Yoram

Report Date:

1973-06-01

Pagination or Media Count:

136.0

Abstract:

The problem of breaking an image into meaningful regions is considered. A probabilistic semantic basis is effectively integrated with the segmentation process, providing various decision criteria. Learning facilities are provided for interactively generating the Bayesian probabilistic basis. A programming system which is based on these ideas and its successful application to two problem domains are described.

Descriptors:

• *COMPUTER PROGRAMMING
• *DATA PROCESSING
• *PATTERN RECOGNITION
• ALGORITHMS
• ARTIFICIAL INTELLIGENCE
• DECISION THEORY
• MATHEMATICAL LOGIC
• PHOTOGRAPHIC IMAGES
• PHOTOINTERPRETATION
• PICTURES
• SEMANTICS
• STATISTICAL ANALYSIS
• THESES

Subject Categories:

• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE