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http://dx.doi.org/10.6109/jkiice.2007.11.8.1604

Extraction of Basic Insect Footprint Segments Using ART2 of Automatic Threshold Setting  

Shin, Bok-Suk (부산대학교 전자계산과)
Cha, Eui-Young (부산대학교 전자계산과)
Woo, Young-Woon (동의대학교 멀티미디어공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.8, 2007 , pp. 1604-1611 More about this Journal
Abstract
In a process of insect footprint recognition, basic footprint segments should be extracted from a whole insect footprint image in order to find out appropriate features for classification. In this paper, we used a clustering method as a preprocessing stage for extraction of basic insect footprint segments. In general, sizes and strides of footprints may be different according to type and sire of an insect for recognition. Therefore we proposed an improved ART2 algorithm for extraction or basic insect footprint segments regardless of size and stride or footprint pattern. In the proposed ART2 algorithm, threshold value for clustering is determined automatically using contour shape of the graph created by accumulating distances between all the spots of footprint pattern. In the experimental results applying the proposed method to two kinds of insect footprint patterns, we could see that all the clustering results were accomplished correctly.
Keywords
ART2 algorithm; Clustering;
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