一种改进的基于链码描述的图像快速恢复算法

Shih F.Y., Wong W.T.
{"title":"一种改进的基于链码描述的图像快速恢复算法","authors":"Shih F.Y.,&nbsp;Wong W.T.","doi":"10.1006/cgip.1994.1031","DOIUrl":null,"url":null,"abstract":"<div><p>A very efficient algorithm for the restoration of an image was developed by Chang and Leu. We implemented the algorithm and experimented on numerous variant types of images. When some images with an in-contour were dealt with, four problems were observed. In this article we present the problems by a counterexample and propose simple improvements to modify the results so that the improved algorithm will make possible robust, flexible, and correct region filling and complete reconstruction of an image.</p></div>","PeriodicalId":100349,"journal":{"name":"CVGIP: Graphical Models and Image Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cgip.1994.1031","citationCount":"11","resultStr":"{\"title\":\"An Improved Fast Algorithm for the Restoration of Images Based on Chain Codes Description\",\"authors\":\"Shih F.Y.,&nbsp;Wong W.T.\",\"doi\":\"10.1006/cgip.1994.1031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A very efficient algorithm for the restoration of an image was developed by Chang and Leu. We implemented the algorithm and experimented on numerous variant types of images. When some images with an in-contour were dealt with, four problems were observed. In this article we present the problems by a counterexample and propose simple improvements to modify the results so that the improved algorithm will make possible robust, flexible, and correct region filling and complete reconstruction of an image.</p></div>\",\"PeriodicalId\":100349,\"journal\":{\"name\":\"CVGIP: Graphical Models and Image Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1006/cgip.1994.1031\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CVGIP: Graphical Models and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1049965284710315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Graphical Models and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049965284710315","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

Chang和Leu开发了一种非常有效的图像恢复算法。我们实现了该算法,并在许多不同类型的图像上进行了实验。当处理一些具有内轮廓的图像时,观察到四个问题。在本文中,我们通过反例提出了这些问题,并提出了简单的改进来修改结果,以便改进的算法能够实现稳健、灵活和正确的区域填充和图像的完全重建。
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
An Improved Fast Algorithm for the Restoration of Images Based on Chain Codes Description

A very efficient algorithm for the restoration of an image was developed by Chang and Leu. We implemented the algorithm and experimented on numerous variant types of images. When some images with an in-contour were dealt with, four problems were observed. In this article we present the problems by a counterexample and propose simple improvements to modify the results so that the improved algorithm will make possible robust, flexible, and correct region filling and complete reconstruction of an image.

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
A New Dynamic Approach for Finding the Contour of Bi-Level Images Building Skeleton Models via 3-D Medial Surface Axis Thinning Algorithms Estimation of Edge Parameters and Image Blur Using Polynomial Transforms Binarization and Multithresholding of Document Images Using Connectivity Novel Deconvolution of Noisy Gaussian Filters with a Modified Hermite Expansion
×
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