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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">TACS</journal-id><journal-title-group><journal-title>Technology and Application of Computer Science</journal-title></journal-title-group><issn>2998-8926</issn><eissn>2998-8934</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/TACS.2026060002</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>基于相对总变差的涡轮叶片 CT 图像环状伪影矫正算法</title><url>https://artdesignp.com/journal/TACS/3/6/10.61369/TACS.2026060002</url><author>江浩,赵嘉昳</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>3</volume><issue>6</issue><history><date date-type="pub"><published-time>2026-03-28</published-time></date></history><abstract>针对涡轮叶片在进行工业计算机断层扫描 (Industrial Computed Tomography，ICT) 无损检测时出现的环状伪影，本文提出基于相对总变差的霍夫直线变换算法来进行环状伪影的识别与定位。通过计算图像的相对总变差实现图像结构信息和伪影纹理的分离，并将伪影纹理作为后续霍夫变换的处理对象，减少检测物像素信息对霍夫变换的干扰，提升检测精度。实测图像表明，采用相对总变差进行伪影纹理分离后，检测到的有效伪影直线数量大幅提升，且减少了常规霍夫变换算法的误检现象。</abstract><keywords>相对总变差, 涡轮叶片, CT 图像, 环状伪影, 矫正算法</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 刘茜 , 胡殿印 , 王怡 , 等．航空发动机结构可靠性设计研究进展与展望 [J]．航空学报 , 2025, 46(21): 23-47．
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