医学意义上的识别模式意象应用程序使用了k

Agus Andreansyah
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引用次数: 2

摘要

自2014年以来,出现了滥用药物的趋势,如滥用苯丙胺类兴奋剂或滥用非处方PCC等化学品。人们不再按照适用的规定使用药物,而是许多人在没有医生处方的情况下购买和使用药物。这些行为和动作会危害健康,所以人们需要知道使用药物更安全的消费,其中一个是要注意药物包装上的标志类型。为了方便查找药品包装上的标识类型名称,有必要开发一种使用数字图像处理的应用程序。该研究首先使用智能手机相机拍摄药物图案图像,然后对徽标图像进行详细裁剪。然后,将裁剪(RGB)图像转换为二值图像和灰度图像,进行度量、偏心率和GLCM特征提取。对测试图像数据的测试结果,准确率为91.5%,对非处方药、硬性药物和麻醉药品的准确率为100%,而非处方药图像的准确率限制在66%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aplikasi Pengenalan Pola Citra Logo Obat Medis Menggunakan K-Means Clustering
Trends in drug abuse have occurred since 2014 such as ATS abuse or chemicals such as over-the-counter PCC. People no longer follow the rules of using drugs according to applicable regulations, but many who buy and consume drugs without a doctor's prescription. These behaviors and actions can endanger health, so people need to know the use of drugs to be more safe for consumption, one of them by paying attention to the type of logo on the drug packaging. To make it easier to find out the name of the logo type on drug packaging, it is necessary to develop an application using digital image processing. The study began with taking a drug pattern image using a smartphone camera and the results were carried out cropping the logo image in detail. Furthermore, cropping (RGB) images are converted into binary images and grayscale images to be performed a feature extraction process that is metric, eccentricity, and GLCM. The results of testing the test image data, a percentage of 91.5% with an accuracy rate of 100% types of over-the-counter drugs, hard drugs, and narcotics, while over-the-counter drug images are limited to 66%.
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