PROFIER: A Prolog-Based Support System for Developing Picture Recognition Program.

Saved in:
Bibliographic Details
Title: PROFIER: A Prolog-Based Support System for Developing Picture Recognition Program.
Authors: Endo, Tsutomu1
Source: Systems & Computers in Japan. Jan1989, Vol. 20 Issue 1, p31-38. 8p.
Subjects: Prolog (Computer program language), Logic programming languages, Artificial intelligence, Punched card systems, Information storage & retrieval systems, Self-organizing systems, Numerical analysis
Abstract: This paper introduces a Prolog-based support system for use in developing a picture recognition program. Earlier, an image recognition program was introduced using such items as cigarette packages, tableware, etc. However, because of the disadvantages of that program, a new one was necessitated. Prolog and Lisp, languages designed for use in artificial intelligence, are more suitable for use in high-level processing, e.g., image recognition and understanding. However, Prolog shows greater potential for use in writing routines in the recognition process. But Prolog is not very effective in handling numerical calculations involving large amounts of two-dimensional images. As a result, Prolog systems are examined herein that have been developed using additional features that allow for implementation of other languages and databases. Here, the PROFIER (PROlog system with Fortran as Image analyzER) system is described. In this system, the knowledge and control structures are written in Prolog, and for raw data processing and image feature extraction, processes that are difficult to handle with Prolog, the system is expanded for programming in FORTRAN. The configuration and characteristics of PROFIER are described, and the performance is evaluated. [ABSTRACT FROM AUTHOR]
Copyright of Systems & Computers in Japan is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Be the first to leave a comment!
You must be logged in first