多边形表示:最大似然方法

Thomas L Hemminger, Carlos A Pomalaza-Ráez
{"title":"多边形表示:最大似然方法","authors":"Thomas L Hemminger,&nbsp;Carlos A Pomalaza-Ráez","doi":"10.1016/0734-189X(90)90056-2","DOIUrl":null,"url":null,"abstract":"<div><p>Image boundaries are frequently approximated with polygons. The polygonal approximation technique described here constructs straight lines from digital line segments having the same angular orientation. The procedure sequentially analyzes the segmented contour while producing a diminishing set of candidate lines. When particular conditions prevail, a straight line may be recognized. These operations are performed on integer and set variables only, obviating the need for floating point calculations.</p></div>","PeriodicalId":100319,"journal":{"name":"Computer Vision, Graphics, and Image Processing","volume":"52 2","pages":"Pages 239-247"},"PeriodicalIF":0.0000,"publicationDate":"1990-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0734-189X(90)90056-2","citationCount":"11","resultStr":"{\"title\":\"Polygonal representation: A maximum likelihood approach\",\"authors\":\"Thomas L Hemminger,&nbsp;Carlos A Pomalaza-Ráez\",\"doi\":\"10.1016/0734-189X(90)90056-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Image boundaries are frequently approximated with polygons. The polygonal approximation technique described here constructs straight lines from digital line segments having the same angular orientation. The procedure sequentially analyzes the segmented contour while producing a diminishing set of candidate lines. When particular conditions prevail, a straight line may be recognized. These operations are performed on integer and set variables only, obviating the need for floating point calculations.</p></div>\",\"PeriodicalId\":100319,\"journal\":{\"name\":\"Computer Vision, Graphics, and Image Processing\",\"volume\":\"52 2\",\"pages\":\"Pages 239-247\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0734-189X(90)90056-2\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Vision, Graphics, and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0734189X90900562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Vision, Graphics, and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0734189X90900562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

图像边界通常用多边形近似。这里描述的多边形近似技术从具有相同角方向的数字线段构造直线。该程序依次分析分割的轮廓,同时产生候选线的递减集。在特殊情况下,可以识别一条直线。这些操作只对整数和集合变量执行,避免了浮点计算的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polygonal representation: A maximum likelihood approach

Image boundaries are frequently approximated with polygons. The polygonal approximation technique described here constructs straight lines from digital line segments having the same angular orientation. The procedure sequentially analyzes the segmented contour while producing a diminishing set of candidate lines. When particular conditions prevail, a straight line may be recognized. These operations are performed on integer and set variables only, obviating the need for floating point calculations.

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:604180095
Book学术官方微信