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An Approach to Detecting Human Nipple Regions Using Color Map

机译:使用颜色图检测人乳头区域的方法

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In this paper, we suggest a new method to detect female nipple areas, representing harmfulness of input images, by employing a color nipple map and geometrical features. The proposed method first detects human skin color regions from an image. It then defines a color nipple map using the unique characteristics that human nipples have and extracts candidate nipple areas by applying the defined map to the input image. Subsequently, our method selects only real nipple regions after filtering out non-nipple ones by applying geometrical features to candidate nipple areas. Experimental results show that the suggested nipple map and geometrical feature-based algorithm can accurately detect human nipple areas through various experiments.
机译:在本文中,我们建议通过采用彩色乳头图和几何特征来检测母乳头区域的新方法,代表输入图像的危害。所提出的方法首先从图像中检测人体肤色区域。然后,使用人乳头具有通过将定义的映射应用于输入图像来限定人乳头具有并提取候选乳头区域的唯一特征来定义颜色乳头映射。随后,通过将几何特征应用于候选乳头区域,我们的方法仅在过滤出非乳头彼此后选择真实的乳头区域。实验结果表明,建议的乳头图和基于几何特征的算法可以通过各种实验准确地检测人乳头区域。

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