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Image edge detection: A knowledge management technique for visual scene analysis

O. Folorunso (Department of Computer Science, University of Agriculture, Abeokuta, Nigeria)
O.R. Vincent (Department of Computer Science, University of Agriculture, Abeokuta, Nigeria)
B.M. Dansu (Department of Statistics, University of Agriculture, Abeokuta, Ogun State, Nigeria)

Information Management & Computer Security

ISSN: 0968-5227

Article publication date: 27 February 2007

1141

Abstract

Purpose

This paper seeks to describe the use of edge‐detection as an approach to support the process of analyzing visual scenes.

Design/methodology/approach

Edges‐detection is considered as a KM technique task. Several edge‐detection algorithms were discussed but Canny method was chosen in conjunction with JAVA to find the edges of an image.

Findings

The paper provides an overview of knowledge need by the visual scene analyst. It reviews the process of extracting knowledge from image data. Finally, the paper looks at the management aspects of image‐edge detection.

Originality/value

Experiments herein have proved the method robustness by considering edge‐detection as a knowledge management technique for visual scene analysis by deriving knowledge from semantic information based on object boundaries shadow.

Keywords

Citation

Folorunso, O., Vincent, O.R. and Dansu, B.M. (2007), "Image edge detection: A knowledge management technique for visual scene analysis", Information Management & Computer Security, Vol. 15 No. 1, pp. 23-32. https://doi.org/10.1108/09685220710738741

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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