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Intelligent Approach to Block Objectionable Images in Websites

机译:阻止网站中不良图像的智能方法

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摘要

This paper analyses and implements a novel technique to filter objectionable adult images displayed in websites, as this problem remains an interesting issue to be addressed in the current scenario. The algorithm is aimed to achieve precise performance, even in distinctive circumstances, where face detection becomes impossible. This is realized by using an ancillary technique in which the Human Body region is analyzed using shape, color and image centered pixel scanning analysis. Further a series of MATLAB simulation results are shown. The results of pixel scanning approach are analyzed and an enhanced integrated filter is designed to improve the performance. Finally the concept of pixel scanning approach is tested and demonstrated in real time using a web portal.
机译:本文分析并实现了一种新颖的技术来过滤网站中显示的令人反感的成人图像,因为该问题仍然是当前情况下需要解决的有趣问题。该算法旨在实现精确性能,即使在无法进行人脸检测的特殊情况下也是如此。这是通过使用辅助技术来实现的,在辅助技术中,使用形状,颜色和以图像为中心的像素扫描分析来分析人体区域。进一步显示了一系列MATLAB仿真结果。分析了像素扫描方法的结果,并设计了增强的集成滤波器以提高性能。最后,使用网络门户对像素扫描方法的概念进行了实时测试和演示。

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