一种新的目标边界检测与识别方法

Lochana Prematunge, A. Dharmarathne
{"title":"一种新的目标边界检测与识别方法","authors":"Lochana Prematunge, A. Dharmarathne","doi":"10.1109/UKSim.2012.106","DOIUrl":null,"url":null,"abstract":"This paper introduces a new boundary detection technique, named rotating line scanning, which can be considered as a boundary growing methodology. Some image enhancement techniques are also introduced which were used to make it possible to work correctly. Image enhancement techniques used in this method do not include any kind of smoothing and as a result the preprocessed image remains as sharp as the original. This technique has a number of parameters that can be tuned to achieve the desired result according to the situation. Using these parameters the algorithm can detect individual objects or a system of objects at once. All the algorithms used in the research consume very less computing power by nature.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Approach for Object Boundary Detection and Identification\",\"authors\":\"Lochana Prematunge, A. Dharmarathne\",\"doi\":\"10.1109/UKSim.2012.106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new boundary detection technique, named rotating line scanning, which can be considered as a boundary growing methodology. Some image enhancement techniques are also introduced which were used to make it possible to work correctly. Image enhancement techniques used in this method do not include any kind of smoothing and as a result the preprocessed image remains as sharp as the original. This technique has a number of parameters that can be tuned to achieve the desired result according to the situation. Using these parameters the algorithm can detect individual objects or a system of objects at once. All the algorithms used in the research consume very less computing power by nature.\",\"PeriodicalId\":405479,\"journal\":{\"name\":\"2012 UKSim 14th International Conference on Computer Modelling and Simulation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 UKSim 14th International Conference on Computer Modelling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UKSim.2012.106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKSim.2012.106","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

本文介绍了一种新的边界检测技术——旋转线扫描,它可以看作是一种边界生长方法。还介绍了一些图像增强技术,使其能够正确工作。在这种方法中使用的图像增强技术不包括任何类型的平滑,因此预处理后的图像仍然与原始图像一样清晰。该技术有许多参数,可以根据情况对这些参数进行调优,以实现所需的结果。利用这些参数,该算法可以同时检测单个物体或一个物体系统。研究中使用的所有算法本质上消耗的计算能力都非常少。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A New Approach for Object Boundary Detection and Identification
This paper introduces a new boundary detection technique, named rotating line scanning, which can be considered as a boundary growing methodology. Some image enhancement techniques are also introduced which were used to make it possible to work correctly. Image enhancement techniques used in this method do not include any kind of smoothing and as a result the preprocessed image remains as sharp as the original. This technique has a number of parameters that can be tuned to achieve the desired result according to the situation. Using these parameters the algorithm can detect individual objects or a system of objects at once. All the algorithms used in the research consume very less computing power by nature.
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
期刊最新文献
Optimal Method for Migration of Tasks with Duplication A Quantitative Evaluation Method of Landmark Effectiveness for Pedestrian Navigation Simulation of DPCM and ADM Systems A Genetic Algorithm Approach for Solving Group Technology Problem with Process Plan Flexibility Complexity Measure as a Feature to Classify Schizophrenic and Healthy Participants
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1