在照相手机上通过颜色量化来分类pH值

2010 International Conference on Communications and Mobile Computing Pub Date : 2010-04-12 DOI:10.1109/CMC.2010.322

N. K. Vuong, Syin Chan, C. Lau

{"title":"在照相手机上通过颜色量化来分类pH值","authors":"N. K. Vuong, Syin Chan, C. Lau","doi":"10.1109/CMC.2010.322","DOIUrl":null,"url":null,"abstract":"In this paper, we present a mobile healthcare application that applies color quantization technique in analysis of color images taken by a camera phone to automate pH classification of medical tests. Experimental results and comparative study have demonstrated the advantages of this new approach in terms of efficiency, accuracy, and robustness over the solution developed earlier based on edge detectors.","PeriodicalId":296445,"journal":{"name":"2010 International Conference on Communications and Mobile Computing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"pH Levels Classification by Color Quantization on a Camera Phone\",\"authors\":\"N. K. Vuong, Syin Chan, C. Lau\",\"doi\":\"10.1109/CMC.2010.322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a mobile healthcare application that applies color quantization technique in analysis of color images taken by a camera phone to automate pH classification of medical tests. Experimental results and comparative study have demonstrated the advantages of this new approach in terms of efficiency, accuracy, and robustness over the solution developed earlier based on edge detectors.\",\"PeriodicalId\":296445,\"journal\":{\"name\":\"2010 International Conference on Communications and Mobile Computing\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Communications and Mobile Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMC.2010.322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Communications and Mobile Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMC.2010.322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

在本文中，我们提出了一个移动医疗应用程序，该应用程序应用颜色量化技术来分析由照相手机拍摄的彩色图像，以自动进行医学测试的pH分类。实验结果和对比研究表明，与先前基于边缘检测器的解决方案相比，该方法在效率、准确性和鲁棒性方面具有优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

pH Levels Classification by Color Quantization on a Camera Phone

In this paper, we present a mobile healthcare application that applies color quantization technique in analysis of color images taken by a camera phone to automate pH classification of medical tests. Experimental results and comparative study have demonstrated the advantages of this new approach in terms of efficiency, accuracy, and robustness over the solution developed earlier based on edge detectors.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 International Conference on Communications and Mobile Computing

自引率

0.00%

发文量