[German title: Die Ränder eines Bildes finden – Wissen aus semantischen Informationen herleiten]
Title: Image edge detection: A knowledge management technique for visual scene analysis
Author(s): O. Folorunso, O.R. Vincent, B.M. Dansu
Journal: Information Management & Computer Security
Year: 2007 Volume: 15 Issue: 1 Page: 23 – 32
Publisher: Emerald Group Publishing Limited
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: Algorithmic languages, Knowledge management, Semantics, Visual programming
Article Type: Research paper
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