Bio-medical image enhancement based on spatial domain technique

K. Jindal, Kriti Gupta, Manan Jain, Manmohan Maheshwari
{"title":"Bio-medical image enhancement based on spatial domain technique","authors":"K. Jindal, Kriti Gupta, Manan Jain, Manmohan Maheshwari","doi":"10.1109/ICAETR.2014.7012932","DOIUrl":null,"url":null,"abstract":"This paper presents a new technique of bio-medical image enhancement that ameliorates the subjective quality of medical images. In this paper, spatial domain technique is used with an eclectic strategy for enhancing the image which comprises of methods like edge detection, smoothing, power law transform and high-boost filter. This technique is analyzed on dark medical images and the result is verified by comparing the entropy at different gamma values, further it can also be verified by human visualization. The result presented in this paper demonstrates that the application of spatial domain technique on a dark medical image yields a better quality, which makes it suitable for pre-processing of medical image applications.","PeriodicalId":196504,"journal":{"name":"2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAETR.2014.7012932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This paper presents a new technique of bio-medical image enhancement that ameliorates the subjective quality of medical images. In this paper, spatial domain technique is used with an eclectic strategy for enhancing the image which comprises of methods like edge detection, smoothing, power law transform and high-boost filter. This technique is analyzed on dark medical images and the result is verified by comparing the entropy at different gamma values, further it can also be verified by human visualization. The result presented in this paper demonstrates that the application of spatial domain technique on a dark medical image yields a better quality, which makes it suitable for pre-processing of medical image applications.
基于空间域技术的生物医学图像增强
提出了一种提高医学图像主观质量的生物医学图像增强新技术。本文利用空间域技术,结合边缘检测、平滑、幂律变换和高升压滤波等多种方法对图像进行综合增强。对暗医学图像进行了分析,并通过对比不同伽马值下的熵值来验证该方法的有效性,进一步也可用于人体可视化的验证。实验结果表明,将空间域技术应用于深色医学图像的预处理能获得较好的图像质量,适用于医学图像的预处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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