Publications

@article{garcia-olalla_olivera_evaluation_2017,

title = {Evaluation of the State of Cutting Tools According to Its Texture Using LOSIB and LBP Variants},

author = {Óscar García-Olalla Olivera and Laura Fernández-Robles and Eduardo Fidalgo and Víctor González-Castro and Enrique Alegre},

url = {https://link.springer.com/chapter/10.1007/978-3-319-51859-6_15},

year  = {2017},

date = {2017-01-01},

journal = {Project Management and Engineering Research: AEIPRO 2016},

pages = {217–228},

abstract = {The FRESVIDA project focuses on assessing the lifespan of cutting tools under extreme conditions using digital image processing. It evaluates various texture descriptors based on Local Binary Patterns (LBP), including variants like LBPV and DLBPCS, using the Outex dataset. The descriptors are tested with Support Vector Machines (SVM), and results show that combining them with LOSIB reduces performance due to the dataset’s emphasis on rotation invariance.},

note = {Publisher: Springer International Publishing},

keywords = {Computer vision, Cutting Tools, local binary pattern, Texture},

pubstate = {published},

tppubtype = {article}

}