Automatic grey level thresholding through index of fuzziness and entropy

Authors:
S.K Pal;R.A King;A.A Hashim
Affiliations:
Electrical Engineering Department, Imperial College of Science and Technology, London SW7 2BT, England;Electrical Engineering Department, Imperial College of Science and Technology, London SW7 2BT, England;School of Electrical and Electronics Engineering, Leicester Polytechnic, Leicester LE1 9BH, England
Venue:
Pattern Recognition Letters
Year:
1983

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Abstract

Algorithms for automatic thresholding of grey levels (without reference to histogram) are described using the terms 'index of fuzziness' and 'entropy' of a fuzzy set. Their values are seen to be minimum when the crossover point of an S-function corresponds to boundary levels among different regions in image space. The effectiveness of the algorithms is demonstrated for images having both bimodal and multimodal grey level distributions.