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首页> 外文期刊>International Journal of Innovative Computing Information and Control >THE DRUG TABLET IMAGE RETRIEVAL SYSTEM BASED ON CONTENT-BASED IMAGE RETRIEVAL
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THE DRUG TABLET IMAGE RETRIEVAL SYSTEM BASED ON CONTENT-BASED IMAGE RETRIEVAL

机译：基于基于内容的图像检索的药物平板图像检索系统

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摘要

Drug tablets morphology is important in illicit drug investigation. The tablet shapes and impressions can be used to classify drugs at crime scene. However, it is a difficult task for law enforcement officers to correctly classify drug tablets on site through naked-eye examination without utilizing proper drug tablet databases. To better assist investigators in drug classification, we have developed an online drug tablet image retrieval system based on content-based image retrieval techniques. The proposed system provides a practical and rapid tool for investigators to classify tablets by morphological characteristics. Traditional drug information query systems adopt text keywords as searching inputs. The correct retrieval results depend on the precision of keywords. However, it is also difficult for each user to describe an object using the same exact keywords. The proposed system uses features, extracted from the content of an image directly, as query data instead of human-described keywords. It can avoid the uncertainty caused from subjective keywords. From experimental results, the proposed system shows its capability of the drug tablet image retrieval.
机译：药物片剂的形态在非法药物调查中很重要。平板电脑的形状和印象可用于在犯罪现场对毒品进行分类。然而，对于执法人员而言，通过裸眼检查正确地对药物片剂进行正确分类而不使用适当的药物片剂数据库是一项艰巨的任务。为了更好地协助研究人员进行药物分类，我们开发了基于基于内容的图像检索技术的在线药物药片图像检索系统。该系统为研究者提供了一种实用，快速的工具，可根据形态特征对药片进行分类。传统的药品信息查询系统采用文本关键字作为搜索输入。正确的检索结果取决于关键字的精度。但是，对于每个用户而言，使用相同的确切关键字来描述对象也很困难。所提出的系统使用直接从图像内容中提取的特征作为查询数据，而不是人类描述的关键字。它可以避免主观关键词带来的不确定性。从实验结果来看，所提出的系统显示了其对药片图像检索的能力。

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  • 作者

    Chiu-Chung Yu; Che-Yen Wen; Chuan-Pin Lu; Yung-Fou Chen;

  • 作者单位

    Department of Forensic Sciences Central Police University No. 56, Shujen Rd., Takang Village, Kueishan Hsiang, Taoyuan County 33304, Taiwan;

    Department of Forensic Sciences Central Police University No. 56, Shujen Rd., Takang Village, Kueishan Hsiang, Taoyuan County 33304, Taiwan;

    Department of Health Industry Information Technology Meiho University No. 23, Pingguang Rd., Neipu, Pingtung 91202, Taiwan;

    Department of Forensic Sciences Central Police University No. 56, Shujen Rd., Takang Village, Kueishan Hsiang, Taoyuan County 33304, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    morphology; drug tablet image; content-based image retrieval;

    机译：形态学;药片图片;基于内容的图像检索;

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