Pattern fabric flaw detection method and system and detection terminal
The invention provides a pattern fabric defect detection method and system and a detection terminal, and relates to the technical field of textile industry, and the method comprises the steps: obtaining a to-be-detected fabric image and a template image, and obtaining a saliency image and a foregrou...
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Main Authors | , , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
23.05.2023
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Subjects | |
Online Access | Get full text |
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Abstract | The invention provides a pattern fabric defect detection method and system and a detection terminal, and relates to the technical field of textile industry, and the method comprises the steps: obtaining a to-be-detected fabric image and a template image, and obtaining a saliency image and a foreground point; based on the position information of the foreground points, analyzing a clustering result of the foreground points, and obtaining a candidate region according to the clustering result; and detecting the candidate area to judge whether flaws exist or not. The algorithm efficiency is optimized through a random point group heuristic optimization method and a linear interpolation method. And according to the mapping relationship between the to-be-detected image and the template image obtained by LAT, obtaining a saliency image and a foreground point by using a dynamic threshold method. And then clustering the foreground points by using a minimum spanning tree algorithm and a DEVI evaluation index and obtainin |
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AbstractList | The invention provides a pattern fabric defect detection method and system and a detection terminal, and relates to the technical field of textile industry, and the method comprises the steps: obtaining a to-be-detected fabric image and a template image, and obtaining a saliency image and a foreground point; based on the position information of the foreground points, analyzing a clustering result of the foreground points, and obtaining a candidate region according to the clustering result; and detecting the candidate area to judge whether flaws exist or not. The algorithm efficiency is optimized through a random point group heuristic optimization method and a linear interpolation method. And according to the mapping relationship between the to-be-detected image and the template image obtained by LAT, obtaining a saliency image and a foreground point by using a dynamic threshold method. And then clustering the foreground points by using a minimum spanning tree algorithm and a DEVI evaluation index and obtainin |
Author | LI CHUNGUANG CUI CHENGYAO WEI TIANTIAN GAO SONG CAO GUOTAI LI FENG GAO XIUBIN WANG GUODONG XING XUNBIN YU JIAN LI KE SHENG SHOUXIANG |
Author_xml | – fullname: SHENG SHOUXIANG – fullname: LI CHUNGUANG – fullname: WANG GUODONG – fullname: CAO GUOTAI – fullname: LI FENG – fullname: GAO SONG – fullname: CUI CHENGYAO – fullname: WEI TIANTIAN – fullname: YU JIAN – fullname: GAO XIUBIN – fullname: LI KE – fullname: XING XUNBIN |
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DocumentTitleAlternate | 一种图案织物瑕疵检测方法、系统及检测终端机 |
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Snippet | The invention provides a pattern fabric defect detection method and system and a detection terminal, and relates to the technical field of textile industry,... |
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Title | Pattern fabric flaw detection method and system and detection terminal |
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