A Novel Skin Tone Detection Algorithm for Contraband Image Analysis
A Novel Skin Tone Detection Algorithm for Contraband Image Analysis
复制标题
一种用于违禁品图像分析的新型肤色检测算法
DOI：
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发表时间：
2008
期刊：
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通讯作者：
Keith Watson
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文献类型：
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作者：
A. Choudhury;M. Rogers;W. Gillam;Keith Watson
本文探讨了肤色检测算法使用的第一响应取证工具，如文件猎犬。File Hound是一个“现场分析”软件应用程序，目前在国际和国内有100多个执法机构使用。它主要用于法医调查，从硬盘驱动器中搜索和识别色情图像。自从文件猎犬的概念，已经采取了几个步骤，以提高其性能和扩展其功能。一个这样的功能是肤色检测过滤器，它可以从File Hound找到的聚合图像结果中识别具有大肤色计数的图像。这个过滤器是基于这样一个想法，即有一个积极的相关性图像与一个大的肤色计数和图像是色情的性质。提出了一种新的肤色检测滤波器，并对从Compaq图像数据库中获得的随机图像进行了肤色检测测试。测试结果在准确性和低错误率方面令人鼓舞：I型= 20.64%，II型= 0.81%，准确性= 78.55%。
This paper examines skin tone detection algorithms used by first responder forensic tools such as File Hound. File Hound is a "field analysis" software application that is currently being used by over 100 law enforcement agencies, both internationally and domestically. It is mainly used in forensic investigations to search and identify pornographic images from a hard drive. Since the conception of File Hound, several steps have been taken to improve its performance and expand its features. One such feature is a skin tone detection filter that can identify images with a large skin color count from the aggregate image results found by File Hound. This filter is based on the idea that there is a positive correlation between images with a large skin color count and images that are pornographic in nature. A novel skin tone detection filter was developed and this filter was tested against random images obtained from the Compaq Image database for skin tone detection. The results of the test are encouraging in terms of accuracy and low error rates: type I = 20.64%, type II = 0.81%, accuracy = 78.55%.