Title: Fuzzy logic supported sketch based image information enhancement

Authors: A.R. Varkonyi-Koczy

Addresses: Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary; Magyar Tudosok krt. 2, H-1521 Budapest, Hungary

Abstract: Recently, the importance of information enhancement methods in digital image processing has increased significantly. Typical examples are searching for similar objects/images in large databases and understanding the objects in images. The main points of these tasks are to extract the most characteristic features of the objects in the images and/or to separate the |significant| and |unimportant| parts of these features. This paper describes a new edge processing method which is able to extract the |primary|, i.e. those edges which can advantageously be used in sketch based image retrieval algorithms.

Keywords: information enhancement; sketch based image retrieval; image understanding; feature extraction; image processing; image smoothing; edge extraction; image contours; fuzzy logic; digital images; edge processing.

DOI: 10.1504/IJAIP.2008.020818

International Journal of Advanced Intelligence Paradigms, 2008 Vol.1 No.1, pp.31 - 39

Published online: 17 Oct 2008 *

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