• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Imaging Science and Technology >An Adult Image Identification System Based on Robust Skin Segmentation
【24h】

An Adult Image Identification System Based on Robust Skin Segmentation

机译：基于鲁棒皮肤分割的成人图像识别系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this article, the authors introduce a new algorithm to identify adult images that can effectively filter out images of naked human bodies in the internet. The algorithm detects eyes, which are known as the most salient component of a human face, and makes a statistical skin color distribution model directly from each input image by choosing reliable skin samples in facial areas near the detected eyes. Skin areas over the entire image are segmented robustly with the online constructed skin color model. The authors then extract a set of representative features characterizing naked bodies from the segmented skin areas and verify if the skin regions contain naked bodies through multilayer perceptron neural networked-based learning and inference of the representative features. Experimental results are given to demonstrate that the proposed adult image detection method can identify various types of nude images effectively compared to other conventional methods.
机译：在本文中，作者介绍了一种新算法，可以识别成人图像，该图像可以有效滤除互联网上裸露的人体图像。该算法检测被称为人脸最显着成分的眼睛，并通过在检测到的眼睛附近的面部区域中选择可靠的皮肤样本，直接从每个输入图像中建立统计的皮肤颜色分布模型。在线构建的皮肤颜色模型可对整个图像上的皮肤区域进行稳健的分割。然后，作者从分割的皮肤区域中提取出一组表征裸露身体的代表性特征，并通过基于多层感知器神经网络的学习和代表性特征的推断来验证皮肤区域是否包含裸露的身体。实验结果表明，与其他常规方法相比，提出的成人图像检测方法可以有效地识别各种类型的裸图像。

著录项

  • 来源
    《Journal of Imaging Science and Technology》 |2011年第2期|p.020508.1-020508.10|共10页
  • 作者

    Seok-Woo Jang; Young-Jae Park; Gye-Young Kim; Hyung-Il Choi; Min-Chel Hong;

  • 作者单位

    Department of Digital Media, Anyang University, 708-113 Anyang 5-Dong, Manan-gu Anyang-shi, Kyonggi-do 430-714, South Korea;

    School of Computing, Soongsil University, 1-1, Sangdo 5-Dong, Dongjak-Ku, Seoul 156-743, South Korea;

    School of Computing, Soongsil University, 1-1, Sangdo 5-Dong, Dongjak-Ku, Seoul 156-743, South Korea;

    School of Global Media, Soongsil University, Seoul 156-743, South Korea;

    School of Electronic Engineering, Soongsil University, Seoul 156-743, South Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号