基于hog和SVM的视障导盲块分类

Nurul Fathanah Mustamin, M. A. Ma’ruf, Rafif Taufiqurrahman
{"title":"基于hog和SVM的视障导盲块分类","authors":"Nurul Fathanah Mustamin, M. A. Ma’ruf, Rafif Taufiqurrahman","doi":"10.20527/jtiulm.v8i1.151","DOIUrl":null,"url":null,"abstract":"All citizens, including those with physical limitations, should be able to use public facilities and services without issue. The principles of accessibility—convenience, safety, usability, and independence—must be followed if we are to achieve social welfare in every area of life. For those with mobility or sight impairments, a guiding block (also known as a guiding tile or warning tile) can serve as an important indication. Regrettably, not all visually impaired people make use of this function in its current setup. Use a Support Vector Machine (SVM) and a His-togram of Oriented Gradient (HOG) to extract features for use in Guidance block image categorization. At a threshold of 75, the guiding blocks' classification accuracy is 99.51 percent within 30 cm, 74.811 percent within 50 cm, and 82.221 percent within 80 cm. \n  \n ","PeriodicalId":330464,"journal":{"name":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CLASSIFICATION OF GUIDING BLOCKS FOR THE VISUALLY IMPAIRED USING HOG AND SVM\",\"authors\":\"Nurul Fathanah Mustamin, M. A. Ma’ruf, Rafif Taufiqurrahman\",\"doi\":\"10.20527/jtiulm.v8i1.151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"All citizens, including those with physical limitations, should be able to use public facilities and services without issue. The principles of accessibility—convenience, safety, usability, and independence—must be followed if we are to achieve social welfare in every area of life. For those with mobility or sight impairments, a guiding block (also known as a guiding tile or warning tile) can serve as an important indication. Regrettably, not all visually impaired people make use of this function in its current setup. Use a Support Vector Machine (SVM) and a His-togram of Oriented Gradient (HOG) to extract features for use in Guidance block image categorization. At a threshold of 75, the guiding blocks' classification accuracy is 99.51 percent within 30 cm, 74.811 percent within 50 cm, and 82.221 percent within 80 cm. \\n  \\n \",\"PeriodicalId\":330464,\"journal\":{\"name\":\"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20527/jtiulm.v8i1.151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20527/jtiulm.v8i1.151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

所有公民,包括身体有缺陷的人,都应该能够毫无问题地使用公共设施和服务。如果我们要在生活的各个领域实现社会福利,就必须遵循无障碍原则——方便、安全、可用和独立。对于那些行动不便或视力受损的人来说,一个引导块(也称为引导砖或警告砖)可以作为一个重要的指示。遗憾的是,并不是所有的视障人士都能使用这个功能。利用支持向量机(SVM)和梯度梯度his图(HOG)提取特征,用于导块图像分类。当阈值为75时,导块在30 cm范围内的分类准确率为99.51%,在50 cm范围内的分类准确率为74.811%,在80 cm范围内的分类准确率为82.221%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLASSIFICATION OF GUIDING BLOCKS FOR THE VISUALLY IMPAIRED USING HOG AND SVM
All citizens, including those with physical limitations, should be able to use public facilities and services without issue. The principles of accessibility—convenience, safety, usability, and independence—must be followed if we are to achieve social welfare in every area of life. For those with mobility or sight impairments, a guiding block (also known as a guiding tile or warning tile) can serve as an important indication. Regrettably, not all visually impaired people make use of this function in its current setup. Use a Support Vector Machine (SVM) and a His-togram of Oriented Gradient (HOG) to extract features for use in Guidance block image categorization. At a threshold of 75, the guiding blocks' classification accuracy is 99.51 percent within 30 cm, 74.811 percent within 50 cm, and 82.221 percent within 80 cm.    
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信