Persistent Identifier
|
doi:10.57745/XCVQSG |
Publication Date
|
2023-04-06 |
Title
| An image processing method to recognize position of sawn boards within the log |
Point of Contact
|
Use email button above to contact.
LI, Xiaolin (Ecole Nationale Supérieure d'Arts et Métiers - MFA)
POT, Guillaume (Ecole Nationale Supérieure d'Arts et Métiers - MFA) |
Author
| LI, Xiaolin (Ecole Nationale Supérieure d'Arts et Métiers - MFA) - ORCID: 0000-0003-1360-2193
POT, Guillaume (Ecole Nationale Supérieure d'Arts et Métiers - MFA) - ORCID: 0000-0001-9751-251X
NGO, Phuc (Université de Lorraine) - ORCID: 0000-0002-7423-5932
VIGUIER, Joffrey (Ecole Nationale Supérieure d'Arts et Métiers - MFA) - ORCID: 0000-0001-7926-599X
PENVERN, Hélène (Ecole Nationale Supérieure d'Arts et Métiers - MFA) - ORCID: 0000-0001-6827-0638 |
Producer
| Arts et Métiers Sciences & Technologies (LaBoMaP) (Ecole Nationale Supérieure d'Arts et Métiers - MFA) (LABOMAP) https://labomap.ensam.eu/
Laboratoire lorrain de Recherche en Informatique et ses Applications (Université de Lorraine) (LORIA) https://www.loria.fr/fr/ |
Production Date
| 2022-12-12 |
Production Location
| Arts et Métiers Campus de Cluny |
Distributor
| Entrepôt-Catalogue Recherche Data Gouv https://entrepot.recherche.data.gouv.fr |
Distribution Date
| 2023-04-06 |
Description
| This dataset includes source images, codes, and results used in a paper that addresses the problem of timber board positioning within the log they were sawn from. The method takes as input images of the end cross-section of logs and boards that can be obtained in a sawmill. It uses a two-step image matching method based on scale invariant feature transform (SIFT) and normalized correlation coefficient (NCC). In the first step, the scale factor and rotation angle of board end images are estimated from the board images that are correctly identified on the log end image by SIFT. Then, the accurate position of each board within the log end image is achieved by the NCC method. The method has been tested on 70 different log images and the 798 corresponding board images of various visual aspects and coming from three different species (Douglas fir, Norway spruce, and oak). The results fully demonstrate that the proposed method is not only rotation and scale invariant, but also has high accuracy properties. English (2023-04-06) |
Language
| English |
Subject
| Engineering; Computer and Information Science; Agricultural Sciences |
Keyword
| Sawmill process, Log breakdown, Board localization, Image matching, Feature extraction |
Data Type
| Dataset; Image; Software |
Data Origin
| experimental data; analysis data; computer code |
Related Publication
| LI Xiaolin, POT Guillaume, NGO Phuc, Viguier Joffrey, PENVERN Hélène. An image processing method to recognize position of sawn boards within the log. (under review) |
Related Dataset
| Longuetaud, Fleur; Pot, Guillaume; Mothe, Frédéric; Barthelemy, Alexis; Decelle, Rémi; Delconte, Florian; Ge, Xihe; Guillaume, Grégoire; Mancini, Théo; Ravoajanahary, Tojo; Butaud, Jean-Claude; Collet, Robert; Debled-Rennesson, Isabelle; Marcon, Bertrand; Ngo, Phuc; Roux Benjamin; Viguier, Joffrey, 2022, "TreeTrace_Douglas", Recherche Data Gouv, V1: doi: https://doi.org/10.15454/YUNEGL |
Funding Information
| ANR: ANR‐21‐CE10‐0002‐01 |
Project Information
| ANR‐21‐CE10‐0002‐01 Effiquass (Precise, cost & eco-efficient timber quality assessment for the sawmill of the future) . WP WP1 . Task Board traceability & positioning into logs from log ends and board ends images |
Time Period
| Start Date: 2022-03-01 ; End Date: 2023-03-31 |
Date of Collection
| Start Date: 2022-11-24 ; End Date: 2022-12-12 |
Depositor
| LI, Xiaolin |
Deposit Date
| 2023-03-23 |