扫描电镜图像最小平均亮度误差四方直图均衡化

N. M. Shukri, K. Sim, J. Leong
{"title":"扫描电镜图像最小平均亮度误差四方直图均衡化","authors":"N. M. Shukri, K. Sim, J. Leong","doi":"10.1109/ICORAS.2016.7872601","DOIUrl":null,"url":null,"abstract":"This paper studies the Contrast and Brightness Enhancement Technique for Scanning Electron Microscope images. Low contrast and/or brightness SEM image may have some hidden or information loss due to this limitation from image environment. This leads to the design of Minimum Mean Brightness Error Quad Histogram Equalization (MMBEQHE) technique. The MMBEQHE improves the visual image quality (qualitative measurement) and enhances the quantitative measurement (metric). This MMBEQHE technique produces the least amount of Absolute Mean Brightness Error (AMBE) with maximum brightness preserved, good peak signal-to-noise ratio for good contrast enhancement and better Structural Similarity (SSIM) value with better enhancement and still maintain image energy conservation.","PeriodicalId":393534,"journal":{"name":"2016 International Conference on Robotics, Automation and Sciences (ICORAS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Minimum mean brightness error quad histogram equalization for scanning electron microscope images\",\"authors\":\"N. M. Shukri, K. Sim, J. Leong\",\"doi\":\"10.1109/ICORAS.2016.7872601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the Contrast and Brightness Enhancement Technique for Scanning Electron Microscope images. Low contrast and/or brightness SEM image may have some hidden or information loss due to this limitation from image environment. This leads to the design of Minimum Mean Brightness Error Quad Histogram Equalization (MMBEQHE) technique. The MMBEQHE improves the visual image quality (qualitative measurement) and enhances the quantitative measurement (metric). This MMBEQHE technique produces the least amount of Absolute Mean Brightness Error (AMBE) with maximum brightness preserved, good peak signal-to-noise ratio for good contrast enhancement and better Structural Similarity (SSIM) value with better enhancement and still maintain image energy conservation.\",\"PeriodicalId\":393534,\"journal\":{\"name\":\"2016 International Conference on Robotics, Automation and Sciences (ICORAS)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Robotics, Automation and Sciences (ICORAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICORAS.2016.7872601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Robotics, Automation and Sciences (ICORAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORAS.2016.7872601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文研究了扫描电镜图像的对比度和亮度增强技术。由于图像环境的限制,低对比度和/或亮度的扫描电镜图像可能会有一些隐藏或信息丢失。为此,设计了最小平均亮度误差四方图均衡化(MMBEQHE)技术。MMBEQHE提高了视觉图像质量(定性测量),增强了定量测量(度量)。MMBEQHE技术产生的绝对平均亮度误差(AMBE)最小,亮度保持最大;峰值信噪比好,对比度增强效果好;结构相似度(SSIM)值好,增强效果好,仍然保持图像能量节约。
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
Minimum mean brightness error quad histogram equalization for scanning electron microscope images
This paper studies the Contrast and Brightness Enhancement Technique for Scanning Electron Microscope images. Low contrast and/or brightness SEM image may have some hidden or information loss due to this limitation from image environment. This leads to the design of Minimum Mean Brightness Error Quad Histogram Equalization (MMBEQHE) technique. The MMBEQHE improves the visual image quality (qualitative measurement) and enhances the quantitative measurement (metric). This MMBEQHE technique produces the least amount of Absolute Mean Brightness Error (AMBE) with maximum brightness preserved, good peak signal-to-noise ratio for good contrast enhancement and better Structural Similarity (SSIM) value with better enhancement and still maintain image energy conservation.
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
Removal of highlights in dichromatic reflection objects using segmentation and inpainting Validation study on cardiac output and index determination in impendence cardiography on postoperative cardiac patients in critical care Threading implementation on different hardware for travel time estimation purpose Potentiality of small wind turbines along highway in Malaysia Investigation of electrochemical characterization of agarose gel for model of human head correlated to lightning currents
×
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