油画显微图像多聚焦分析方法的研究

H. Kim, Duk-Yeon Lee, D. Choi, Jaehyeon Kang, Dong-Wook Lee
{"title":"油画显微图像多聚焦分析方法的研究","authors":"H. Kim, Duk-Yeon Lee, D. Choi, Jaehyeon Kang, Dong-Wook Lee","doi":"10.7736/jkspe.022.151","DOIUrl":null,"url":null,"abstract":"surface it is inconvenient to analyze an entire image due to multiple defocused areas. The defocusing is usually caused by the small depth of the lens and the rough surface curve. Thus, these microscopic images in an oil painting have multiple focal points, which indicates multi-focus images. We present a multi-focus fusion synthesizing a focused image from scans based on focal direction and selection of focused places. Based on microscopic characteristics, a common scanned area of the images was defined to unify the lens multiplication. A focus index was applied to each pixel to identify well-focused pixels and generate a mapping image in the focal direction. Subsequently, a median filter was applied to the mapping image and a multifocal image was acquired based on actual pixel values obtained from the mapping image. The proposed method was utilized in analyzing oil painting samples carrying rough surface curves. The multifocal image facilitated the analysis of the oil painting surface and resulted in enhanced quality compared with other methods. The proposed method can be used to generate useful images in scientific and industrial microscopy","PeriodicalId":37663,"journal":{"name":"Journal of the Korean Society for Precision Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on the Multi-focus Method of Microscopic Images for Oil-painting Analysis\",\"authors\":\"H. Kim, Duk-Yeon Lee, D. Choi, Jaehyeon Kang, Dong-Wook Lee\",\"doi\":\"10.7736/jkspe.022.151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"surface it is inconvenient to analyze an entire image due to multiple defocused areas. The defocusing is usually caused by the small depth of the lens and the rough surface curve. Thus, these microscopic images in an oil painting have multiple focal points, which indicates multi-focus images. We present a multi-focus fusion synthesizing a focused image from scans based on focal direction and selection of focused places. Based on microscopic characteristics, a common scanned area of the images was defined to unify the lens multiplication. A focus index was applied to each pixel to identify well-focused pixels and generate a mapping image in the focal direction. Subsequently, a median filter was applied to the mapping image and a multifocal image was acquired based on actual pixel values obtained from the mapping image. The proposed method was utilized in analyzing oil painting samples carrying rough surface curves. The multifocal image facilitated the analysis of the oil painting surface and resulted in enhanced quality compared with other methods. The proposed method can be used to generate useful images in scientific and industrial microscopy\",\"PeriodicalId\":37663,\"journal\":{\"name\":\"Journal of the Korean Society for Precision Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Korean Society for Precision Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7736/jkspe.022.151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean Society for Precision Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7736/jkspe.022.151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

由于多个散焦区域,分析整个图像是不方便的。散焦通常是由透镜的小深度和粗糙的表面曲线引起的。因此,油画中的这些微观图像具有多个焦点,这表示多焦点图像。我们提出了一种基于聚焦方向和聚焦位置选择的多聚焦融合,从扫描中合成聚焦图像。基于显微特征,定义了图像的公共扫描区域,以统一透镜倍增。将聚焦指数应用于每个像素,以识别聚焦良好的像素并生成聚焦方向上的映射图像。随后,将中值滤波器应用于映射图像,并且基于从映射图像获得的实际像素值来获取多焦点图像。将该方法应用于带有粗糙表面曲线的油画样品的分析。与其他方法相比,多焦图像有助于油画表面的分析,并提高了质量。所提出的方法可用于在科学和工业显微镜中生成有用的图像
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 Study on the Multi-focus Method of Microscopic Images for Oil-painting Analysis
surface it is inconvenient to analyze an entire image due to multiple defocused areas. The defocusing is usually caused by the small depth of the lens and the rough surface curve. Thus, these microscopic images in an oil painting have multiple focal points, which indicates multi-focus images. We present a multi-focus fusion synthesizing a focused image from scans based on focal direction and selection of focused places. Based on microscopic characteristics, a common scanned area of the images was defined to unify the lens multiplication. A focus index was applied to each pixel to identify well-focused pixels and generate a mapping image in the focal direction. Subsequently, a median filter was applied to the mapping image and a multifocal image was acquired based on actual pixel values obtained from the mapping image. The proposed method was utilized in analyzing oil painting samples carrying rough surface curves. The multifocal image facilitated the analysis of the oil painting surface and resulted in enhanced quality compared with other methods. The proposed method can be used to generate useful images in scientific and industrial microscopy
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
Journal of the Korean Society for Precision Engineering
Journal of the Korean Society for Precision Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
0.50
自引率
0.00%
发文量
104
期刊介绍: Journal of the Korean Society for Precision Engineering (JKSPE) is devoted to publishing original research articles with high ethical standard on all aspects of precision engineering and manufacturing. Specifically, the journal focuses on articles related to improving the precision of machines and manufacturing processes through implementation of creative solutions that stem from advanced research using novel experimental methods, predictive modeling techniques, and rigorous analyses based on mechanical engineering or multidisciplinary approach. The expected outcomes of the knowledge disseminated from JKSPE are enhanced reliability, better motion precision, higher measurement accuracy, and sufficient reliability of precision systems. The various topics covered by JKSPE include: Precision Manufacturing processes, Precision Measurements, Robotics and Automation / Control, Smart Manufacturing System, Design and Materials, Machine Tools, Nano/Micro Technology, Biomechanical Engineering, Additive Manufacturing System, Green Manufacturing Technology.
期刊最新文献
Fabrication of Magneto-responsive Functional Surface through Removal of Residual Layer Development of Rotation and Pull-back Drive System of Catheter for Vascular Treatment Evaluation of the Manufacturing and Viral Killing Efficacy of Chitosan Microbeads Loaded with Disinfectants Micro-hole Array Ceria Functional Layer Embedded Membrane for Durable Polymer Electrolyte Membrane Fuel Cell Hybrid Triboelectric-piezoelectric Energy Harvester Utilizing Nanopatterned Film and Piezoelectric Elastomeric Sponge Layers
×
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