Accession Number : ADA307449

Title :   Knowledge-Based Integration of IU Algorithms.

Descriptive Note : Technical rept.,

Corporate Author : MARYLAND UNIV COLLEGE PARK COMPUTER VISION LAB

Personal Author(s) : Shekhar, Chandra ; Kuttikkad, Shyam ; Chellappa, Rama

PDF Url : ADA307449

Report Date : DEC 1995

Pagination or Media Count : 24

Abstract : This paper deals with the integration of image understanding (IU) programs using a knowledge-based approach. The basic concepts of program integration are discussed, and a simple problem-solving model for program integration is outlined. Two types of reasoning, planning and execution control, are identified. A system developed using this model, called OCAPI (Optimizing, Controlling and Automating the Processing of Images), is introduced. OCAPI is in an AI environment in which the reasoning used by the IU specialist is formally represented using frames and production rules. An example of an application developed using OCAPI is presented, and the advantages and shortcomings of this approach are discussed.

Descriptors :   *IMAGE PROCESSING, *KNOWLEDGE BASED SYSTEMS, DATA BASES, ALGORITHMS, SOFTWARE ENGINEERING, OPTIMIZATION, AUTOMATION, MAXIMUM LIKELIHOOD ESTIMATION, REASONING, SEMANTICS, COMPUTER ARCHITECTURE, RULE BASED SYSTEMS, SYNTHETIC APERTURE RADAR, RADAR IMAGES, PROBLEM SOLVING, HEURISTIC METHODS, PATTERN RECOGNITION, SYSTEMS ANALYSIS, COMPUTER VISION, CONTROL THEORY, TARGET DETECTION, RADAR TARGETS, PIXELS, EXECUTIVE ROUTINES, OBJECT ORIENTED PROGRAMMING.

Subject Categories : Cybernetics
      Active & Passive Radar Detection & Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE