Navel Area Detection Based on Body Structure
Author(s) -
Seok-Woo Jang,
Moon-Haeng Huh
Publication year - 2015
Publication title -
journal of the korea academia-industrial cooperation society
Language(s) - English
Resource type - Journals
eISSN - 2288-4688
pISSN - 1975-4701
DOI - 10.5762/kais.2015.16.3.2185
Subject(s) - navel , artificial intelligence , computer science , computer vision , filter (signal processing) , image (mathematics) , navel orange , enhanced data rates for gsm evolution , bilateral filter , pattern recognition (psychology) , medicine , biology , anatomy , horticulture
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]
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