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http://dx.doi.org/10.5762/KAIS.2015.16.3.2185

Navel Area Detection Based on Body Structure  

Jang, Seok-Woo (Department of Digital Media, Anyang University)
Huh, Moon-Haeng (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.16, no.3, 2015 , pp. 2185-2191 More about this Journal
Abstract
With the advance of the environment where we can get various multimedia contents, adult image detection has become an important issue these days. In this paper, we suggest a method of robustly detecting navel areas from input images which can be usefully utilized in adult image detection. The suggested algorithm first extracts face regions and extracts candidate nipple areas using a nipple map. Our method then selects only actual nipple regions by filtering candidate areas with geometrical features and an average nipple filter. Subsequently, the method robustly detects navel areas by using the structural relation with the nipple areas and applying edge and saturation images. Experimental results show that the suggested algorithm can effectively detect navel regions.
Keywords
Navel Areas; Edge; Structural Relation; Binarization; Image Features;
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Times Cited By KSCI : 1  (Citation Analysis)
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