Image structural information assessment

Authors:
A. Ghali;M. F. Daemi;M. Mansour
Affiliations:
Recognition Engineering Group, Department of Computer Science, University of Nottingham, University Park, Nottingham NG7 2RD, UK;Recognition Engineering Group, Department of Computer Science, University of Nottingham, University Park, Nottingham NG7 2RD, UK;R.E.C. Laboratory, Institut d'Electronique, Université des Sciences et de la Technologie d'Oran U.S.T.O., BP 1505 El M'nouer, Oran, Algeria
Venue:
Pattern Recognition Letters
Year:
1998

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Abstract

Many image information assessment techniques have been proposed in the past. Most of them are based on the image histogram. When the histogram of an image is derived, the structural component of the image is generally ignored. The information assessed using the histogram is thus independent of the image spatial attributes. In this investigation an original computational technique for the assessment of the structural information content of an image is described. The developed technique produces as output an information measure which is proportional to the image geometrical attributes such as the size, the shape complexity, etc. The technique is normalised and tested on a series of artificial images. The results obtained are analysed to show how the normalised information is related to the image geometrical attributes. The results obtained are also confirmed when English character images are considered. Finally, conclusions will be drawn in terms of the suitability of the technique for applications in computer imaging problems.