@article{alegre_automatic_nodate,
title = {Automatic segmentation of the wear region in cutting tools},
author = {Enrique Alegre and Jonatan Ruiz and Joaquín Barreiro and Manuel Castejón-Limas and LK Hernández},
url = {https://d1wqtxts1xzle7.cloudfront.net/44449821/Automatic_segmentation_of_the_wear_regio20160405-32089-t0uk07-libre.pdf?1459894370=&response-content-disposition=inline%3B+filename%3DAutomatic_segmentation_of_the_wear_regio.pdf&Expires=1739456394&Signature=O9SQuejVUFfkNXaJaH-Rd1mgX1dE0MfJ9xge3ri6ekr1I71KojNIII7qijC511wXXymUmYaQ-VrMMO-dSYBRVfr8cNcqykaUiNZOb~KAfrMM9ewkyHV-di20qDSZ4nLw-Ij-eFk48OorcP5L8PdZ3CsvnFrsvtnidpUszpwZL9NZo1A49e1q05cXM2SJwQOUbmkHWQDsLmJ8WOh1bawMgkzWNIKImlI5wWwqwa86g0j4~nlHw3NnFgvrDkVMPer-3vj2yWLyDkoKxjwxVSWAAotMWJPseED8RwZV6KAEU5YxWO~bL2IgSidjRBU3zvoL5Neff4wwOEnqpLKrXomX2A__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA},
year = {2016},
date = {2016-04-05},
abstract = {This paper presents a methodology for segmenting wear regions in cutting tools using decision rules and image processing techniques. The approach adapts to different wear levels and achieved 90% accuracy on 625 samples through visual validation.},
keywords = {automatic segmentation, cutting tool, extended-maxima transform, machining},
pubstate = {published},
tppubtype = {article}
}
This paper presents a methodology for segmenting wear regions in cutting tools using decision rules and image processing techniques. The approach adapts to different wear levels and achieved 90% accuracy on 625 samples through visual validation.