J. For. Sci., 2024, 70(3):135-143 | DOI: 10.17221/105/2023-JFS

Use of the threshold segmentation method as an alternative for estimating the volume of forest industry residuesOriginal Paper

Carlos Borrego-Núñez ORCID...1, Pablito Marcelo López-Serrano ORCID...1, Pedro Antonio Domínguez-Calleros ORCID...2, Jorge Luis Compeán-Aguirre ORCID...1, Artemio Carrillo-Parra ORCID...1
1 Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Durango, Mexico
2 Facultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango, Mexico

In recent decades, the interest in searching for procedures and strategies to make energetic and economic use of residues from different industries has been an important part of the political agenda. There are several methods to determine the volume of residues from the forestry industry, but they are too time-consuming to apply. The objective of the present study was to establish a simpler and more efficient method to quantify the volume of residues from the forest industry. Ten controlled piles were made with residues from a private sawmill in the city of Durango, Mexico. To calculate the volume, two manual methods and one automatic method were used to calculate the stacking coefficient of the piles, while the water immersion method was used to calculate the real volume. A completely random experimental design was used for the analysis, where an analysis of variance and mean comparisons were performed at a significance level of P ≤ 0.05. The results of the study show that the threshold segmentation method is faster, more practical and efficient than the other methods used. The estimation of the volume of these residues will contribute to generating sustainable alternatives for the development and use of forest industry resources.

Keywords: residue measurement; sawmill industry; segmentation by threshold; stacking ratio; volume measurement

Received: September 20, 2023; Revised: December 6, 2023; Accepted: December 20, 2023; Prepublished online: March 11, 2024; Published: March 27, 2024  Show citation

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Borrego-Núñez C, López-Serrano PM, Domínguez-Calleros PA, Compeán-Aguirre JL, Carrillo-Parra A. Use of the threshold segmentation method as an alternative for estimating the volume of forest industry residues. J. For. Sci. 2024;70(3):135-143. doi: 10.17221/105/2023-JFS.
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    References

    1. Bradski G., Kaehler A. (2008): Learning OpenCV: Computer Vision with the OpenCV Library. Sebastopol, O'Reilly Media: 557.
    2. Carrillo Anzures F., Acosta Mireles M., Flores Ayala E., Torres Rojo J.M., Sangerman-Jarquín D.M., González Molina L., Buendía Rodríguez E. (2017): Caracterización de productores forestales en 12 estados de la República Mexicana. Revista mexicana de ciencias agrícolas, 8: 1561-1573. (in Spanish) Go to original source...
    3. de León G.C., Uranga-Valencia L.P. (2013): Theoretical evaluation of Huber and Smalian methods applied to tree stem classical geometries. Bosque, 34: 311-317. Go to original source...
    4. Diéguez Aranda U., Barrio Anta M., Castedo Dorado F., Ruiz González A.D., Álvarez Taboada M.F., Álvarez González J.G., Rojo Alboreca A. (2003): Dendrometría. Madrid, Mundi-Prensa: 327. (in Spanish)
    5. Fregoso-Madueño J.N., Goche-Télles J.R., Rutiaga-Quiñones J.G., González-Laredo R.F., Bocanegra-Salazar M., Chávez-Simental J.A. (2017): Usos alternativos de los desechos de la industria del aserrío. Revista Chapingo Serie Ciencias Forestales y del Ambiente, 23: 243-260. (in Spanish) Go to original source...
    6. Galán Larrea R., Pérez Galeana J.C., Rivera Nava J.L., Valera Venegas G. (2014): Volumen y rentabilidad de la leña en un acahual intervenido con roza, tumba y quema en la región costa de Oaxaca. Ciencia y mar, 54: 3-18. (in Spanish)
    7. Goche-Télles J.R., Dominguez-Calleros M., Montiel-Antuna E., Palacios-Mendoza C. (2016): Biocombustibles sólidos, una opción sustentable para la producción de energía. In: Carrillo Parra A., Rutiaga Quiñones J.G. (eds): Biocombustibles sólidos. Monterrey, Universidad Autónoma de Nuevo León: 8-31. (in Spanish)
    8. González A. (2014): Estudio de la logística de una planta de biomasa para abastecer de energía térmica a la Universidad de Valladolid. [MSc. Thesis.] Valladolid, Universidad de Valladolid. (in Spanish)
    9. Lalinde J.D.H., Castro F.E., Rodríguez J.E., Rangel J.G.C., Sierra C.A.T., Torrado M.K.A., Pirela V.J.B. (2018): Sobre el uso adecuado del coeficiente de correlación de Pearson: Definición, propiedades y suposiciones. Archivos Venezolanos de Farmacología y Terapéutica, 37: 587-595. (in Spanish)
    10. Luna J.A.N., Villanueva G.H.A., González J.M., Vargas L.B., Cobos F.C., Hernández F.J., Calderón C.G.A. (2012): Rendimiento de la madera aserrada en dos aserraderos privados de El Salto, Durango, México. Investigación y Ciencia, 55: 11-23. Available at: http://www.uaa.mx/investigacion/revista/archivo/revista55/Articulo%202.pdf (in Spanish)
    11. Minaee S., Boykov Y., Porikli F., Plaza A., Kehtarnavaz N., Terzopoulos D. (2022): Image segmentation using deep learning: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44: 3523-3542. Go to original source... Go to PubMed...
    12. Ortiz Barrios R., Martínez S.D., Vázquez Rabanales D.E., Juárez W.S. (2016): Determinación del coeficiente y calidad de aserrío del género Pinus en la región Sierra Sur, Oaxaca, México. Colombia forestal, 19: 79-93. (in Spanish) Go to original source...
    13. Pásztory Z., Heinzmann B., Barbu M.C. (2018): Manual and automatic volume measuring methods for industrial timber. IOP Conference Series: Earth and Environmental Science, 159: 1755-1315. Go to original source...
    14. Rico-Fernández M.P., Rios-Cabrera R., Castelán M., Guerrero-Reyes H.I., Juarez-Maldonado A. (2019): A contextualized approach for segmentation of foliage in different crop species. Computers and Electronics in Agriculture, 156: 378-386. Go to original source...
    15. Rondeux J. (2010): Medición de árboles y masas forestales. Madrid, Mundi-Prensa Libros: 521. (in Spanish)
    16. Yu C., Sun Y., Cao Y., He J., Fu Y., Zhou X. (2023): A novel wood log measurement combined mask R-CNN and stereo vision camera. Forests, 14: 285. Go to original source...

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