基于canny边缘检测方法的四类对象的分离原型

Y. Christyono, S. Sumardi, D. Sapitri, I. Setiawan, A. Sofwan, Ajub Ajulian
{"title":"基于canny边缘检测方法的四类对象的分离原型","authors":"Y. Christyono, S. Sumardi, D. Sapitri, I. Setiawan, A. Sofwan, Ajub Ajulian","doi":"10.53555/eijse.v4i1.159","DOIUrl":null,"url":null,"abstract":"The development of current technology makes easier for human beings in overcoming work. One of them is a selection of objects on industry. On a large-scale industry, the process of selection objects is done continuously, and it requires a high degree of accuracy. The work goes on for 24 hours unceasingly, which is hard for human. Therefore, it needs an instrument that works automatically to ease the selection process of objects. In this research, a prototype that separates objects based on shape is conducted. Shape recognition process utilizes canny edge detection method with microcontroller ATmega16 as a whole system controller. According to the testing result, the prototype can recognize and separate objects a circle, square, rectangular, and equilateral triangles. The ratio roundness (metric) values for circle, square, rectangular, and equilateral triangle are 1.00-0.90, 0.90-0.83, 0.81-0.70, and <0.70, respectively. Moreover, the level of success for separating circle object, square object, rectangular object, equilateral triangle object, and whole system are 100%, 80%, 100%, 100%, and 85%, severally.","PeriodicalId":354866,"journal":{"name":"EPH - International Journal of Science And Engineering","volume":"348 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SEPARATOR PROTOTYPE FOR FOUR TYPES OF OBJECTS BASED ON CANNY EDGE DETECTION METHOD\",\"authors\":\"Y. Christyono, S. Sumardi, D. Sapitri, I. Setiawan, A. Sofwan, Ajub Ajulian\",\"doi\":\"10.53555/eijse.v4i1.159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of current technology makes easier for human beings in overcoming work. One of them is a selection of objects on industry. On a large-scale industry, the process of selection objects is done continuously, and it requires a high degree of accuracy. The work goes on for 24 hours unceasingly, which is hard for human. Therefore, it needs an instrument that works automatically to ease the selection process of objects. In this research, a prototype that separates objects based on shape is conducted. Shape recognition process utilizes canny edge detection method with microcontroller ATmega16 as a whole system controller. According to the testing result, the prototype can recognize and separate objects a circle, square, rectangular, and equilateral triangles. The ratio roundness (metric) values for circle, square, rectangular, and equilateral triangle are 1.00-0.90, 0.90-0.83, 0.81-0.70, and <0.70, respectively. Moreover, the level of success for separating circle object, square object, rectangular object, equilateral triangle object, and whole system are 100%, 80%, 100%, 100%, and 85%, severally.\",\"PeriodicalId\":354866,\"journal\":{\"name\":\"EPH - International Journal of Science And Engineering\",\"volume\":\"348 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EPH - International Journal of Science And Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53555/eijse.v4i1.159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPH - International Journal of Science And Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53555/eijse.v4i1.159","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

现代技术的发展使人类更容易克服工作。其中之一是工业对象的精选。在一个大规模的工业中,选择对象的过程是连续进行的,它要求高度的准确性。工作24小时不间断地进行,这对人类来说是很难的。因此,它需要一种自动工作的工具来简化对象的选择过程。在本研究中,我们进行了一个基于形状的物体分离原型。形状识别过程采用巧妙的边缘检测方法,以单片机ATmega16作为整个系统的控制器。根据测试结果,该原型可以识别和分离圆形、正方形、矩形和等边三角形等物体。圆形、正方形、矩形和等边三角形的圆度比(公制)值分别为1.00-0.90、0.90-0.83、0.81-0.70和<0.70。圆形物体、正方形物体、矩形物体、等边三角形物体和整个系统的分离成功率分别为100%、80%、100%、100%和85%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SEPARATOR PROTOTYPE FOR FOUR TYPES OF OBJECTS BASED ON CANNY EDGE DETECTION METHOD
The development of current technology makes easier for human beings in overcoming work. One of them is a selection of objects on industry. On a large-scale industry, the process of selection objects is done continuously, and it requires a high degree of accuracy. The work goes on for 24 hours unceasingly, which is hard for human. Therefore, it needs an instrument that works automatically to ease the selection process of objects. In this research, a prototype that separates objects based on shape is conducted. Shape recognition process utilizes canny edge detection method with microcontroller ATmega16 as a whole system controller. According to the testing result, the prototype can recognize and separate objects a circle, square, rectangular, and equilateral triangles. The ratio roundness (metric) values for circle, square, rectangular, and equilateral triangle are 1.00-0.90, 0.90-0.83, 0.81-0.70, and <0.70, respectively. Moreover, the level of success for separating circle object, square object, rectangular object, equilateral triangle object, and whole system are 100%, 80%, 100%, 100%, and 85%, severally.
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