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With the advance of the environment where we can get various multimedia contents, adult image detectionhas become an important issue these days. In this paper, we suggest a method of robustly detecting navel areas frominput 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 regionsby filtering candidate areas with geometrical features and an average nipple filter. Subsequently, the method robustlydetects 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. Key Words : Navel Areas, Edge, Structural Relation, Binarization, Image Features 1.         , , , ,              .                   [1].      ,                .              .       (blocking)           [2].          [3-6]. [3]

Navel Area Detection Based on Body Structure