Papers › Burr detection and classification using RUSTICO and image processing

Burr detection and classification using RUSTICO and image processing

17 Nov 2021Journal of Computational Science 2021 11archive 2025-07-28

Virginia Riego, Lidia Sánchez-González, Laura Fernández-Robles, Alexis Gutiérrez-Fernández, Nicola Strisciuglio

Machined workpieces must satisfy quality standards such as avoid the presence of burrs in edge finishing to reduce production costs and time. In this work we consider three types of burr that are determined by the distribution of the edge shape on a microscopic scale: knife-type (without imperfections), saw-type (presence of small splinters that could be accepted) and burr-breakage (substantial deformation that produces unusable workpieces). The proposed method includes RUSTICO to classify automatically the edge of each piece according to its burr type. Experimental results validate its effectiveness, yielding a 91.2% F1-Score and identifying completely the burr-breakage type.

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ClassificationVocal Bursts Type Prediction

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Classification Burr classification images 60_divisions F1 91.21 #1 of 3 Archive leaderboard report
Classification Burr classification images 60_divisions precision 93.20 #1 of 3 Archive leaderboard report
Classification Burr classification images 60_divisions recall 91.11 #1 of 3 Archive leaderboard report

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