Performance evaluation of binarizations of scanned insect footprints

Authors:
Young W. Woo
Affiliations:
Division of Computer & Visual Engineering, College of Engineering, Dongeui University, Pusan, Korea
Venue:
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Year:
2004

Citing 2
Cited 1

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Segmentation of scanned insect footprints using ART2 for threshold selection

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Abstract

The paper compares six conventional binarization methods for the special purpose of subsequent analysis of scanned insect footprints. We introduce a new performance criterion for performance evaluation. The six different binarization methods are selected from different methodologically categories, and the proposed performance criterion is related to the specific characteristics of insect footprints having a very small percentage of object areas. The results indicate that a higher-order entropy binarization algorithm, such as proposed by Abutaleb, offers best results for further pattern recognition application steps for the analysis of scanned insect footprints.