A New Accurate Pill Recognition System Using Imprint Information

被引：3

作者：

Chen, Zhiyuan ^{[1
]}

Kamata, Sei-ichiro ^{[1
]}

机构：

[1] Waseda Univ, Grad Sch Informat Prod & Syst, Kitakyushu, Fukuoka, Japan

来源：

SIXTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2013) | 2013年 / 9067卷

关键词：

pill recognition; Modified Stroke Width Transform (MSWT); Weighted Shape Context (WSC); feature extraction; image retrieval;

D O I：

10.1117/12.2051168

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Great achievements in modern medicine benefit human beings. Also, it has brought about an explosive growth of pharmaceuticals that current in the market. In daily life, pharmaceuticals sometimes confuse people when they are found unlabeled. In this paper, we propose an automatic pill recognition technique to solve this problem. It functions mainly based on the imprint feature of the pills, which is extracted by proposed MSWT (modified stroke width transform) and described by WSC (weighted shape context). Experiments show that our proposed pill recognition method can reach an accurate rate up to 92.03% within top 5 ranks when trying to classify more than 10 thousand query pill images into around 2000 categories.

引用

页数：5

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