Integrating object detection and image segmentation for detecting the tool wear area on stitched image

Abstract Flank wear is the most common wear that happens in the end milling process. However, the process of detecting the flank wear is cumbersome. To achieve comprehensively automatic detecting the flank wear area of the spiral end milling cutter, this study proposed a novel flank wear detection m...

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Auteurs principaux: Wan-Ju Lin, Jian-Wen Chen, Jian-Ping Jhuang, Meng-Shiun Tsai, Che-Lun Hung, Kuan-Ming Li
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/b6a6b7c5d7b340269b74ca42860ab8fb
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