Edge Filtering Using Orientation Entropy

The paper introduces the concept of orientation entropy for quantifying the propensity of a pixel belonging to the edge. Intensity variation at a pixel is measured as an integral of a logarithmic function over all possible direction which represents the heterogeneity of intensity variation in the ne...

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Bibliographic Details
Published in2007 International Conference on Computing: Theory and Applications (ICCTA'07) pp. 623 - 626
Main Authors Das, A.K., Mitra, P.K., Ghosh, S.K., Ray, A.K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2007
Subjects
Computer science
Computer vision
Convolution
Detectors
Entropy
Image edge detection
Information filtering
Information filters
Information technology
Nonlinear filters
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Summary:The paper introduces the concept of orientation entropy for quantifying the propensity of a pixel belonging to the edge. Intensity variation at a pixel is measured as an integral of a logarithmic function over all possible direction which represents the heterogeneity of intensity variation in the neighborhood of that point. This is unlike traditional edge filters which uses divergence operator considering the maximum intensity variation among all possible directions. The proposed entropic filter is found to provide visually superior edges for a number of benchmark images considered in our experiments
ISBN:9780769527703
0769527701
DOI:10.1109/ICCTA.2007.56