영상의 유해성을 나타내는 인체의 구성요소 검출

다국어 초록 (Multilingual Abstract)

This paper suggests a new approach of detecting female nipple areas, representing harmfulness of images, by adopting nipple maps and average color filters. The suggested method first detects human face regions. It then defines a nipple map using unique features that human nipples have and extracts candidate nipples areas by applying the map to input images followed by morphological operations. Subsequently, our method selects only real nipple areas after filtering out non-nipple ones by applying geometrical information and average color filters to candidate nipple areas. Experimental results show that the suggested nipple map and color filter-based algorithm can accurately detect nipple areas through various experiments.

참고문헌 (Reference)

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