dor_id: 41537

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856.4.0.u: http://revistas.unam.mx/index.php/rmf/article/view/15048/14318

100.1.#.a: Sosa, M.; Huerta, C.; Bernal-alvarado, J.; Martinez, J. C.; Vargas, M.; Cordova-fraga, T.; Hernandez, E.

524.#.#.a: Sosa, M., et al. (2009). A methodology to measure the volume of spheroid and oblong solid bodies based on artificial vision technique. Revista Mexicana de Física; Vol 55, No 002. Recuperado de https://repositorio.unam.mx/contenidos/41537

245.1.0.a: A methodology to measure the volume of spheroid and oblong solid bodies based on artificial vision technique

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Facultad de Ciencias, UNAM

264.#.0.c: 2009

264.#.1.c: 2009-01-01

653.#.#.a: Artificial vision; volume assessment; image processing

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, fecha de asignación de la licencia 2009-01-01, para un uso diferente consultar al responsable jurídico del repositorio por medio de rmf@ciencias.unam.mx

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041.#.7.h: eng

520.3.#.a: A methodology for assessing the volume of spheroid and oblong solid bodies is presented. Samples were mounted on a revolving platform that was driven by a computer-controlled stepping motor. Four hundred views (photographs) of each sample were acquired as they were uniformly rotated in the azimuth direction. The image processing was based on the artificial vision technique called segmentation. Using the information of the instantaneous radius and the small angle of rotation in each step, the numerical integration of the volume was performed. Images were captured using a CCD camera and the entire system was controlled by a routine developed in LabVIEW TM 6.1. Two sets of geometrical bodies (polystyrene cylinders and spheres) and three kinds of biological samples were measured. For the sake of comparison, each body was also measured by means of both a micrometric caliper and the displaced volume of water inside a vessel. The ANOVA correlation parameters between the proposed methodology and the hydrostatic procedure were found to be: r = 0.9924 and p = 0.0001, with α = 0.05. The coincidence between the results obtained with artificial vision and the hydrostatic technique was greater than 98% for spheres and cylinders. On the other hand, it was only up to 95% for the samples with non-regular shaped bodies (chicken hearts, kidneys and carrots). The purpose of the paper is to discuss in detail a simple technique which could be of interest to students of science and engineering.

773.1.#.t: Revista Mexicana de Física; Vol 55, No 002 (2009)

773.1.#.o: http://revistas.unam.mx/index.php/rmf

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Artículo

A methodology to measure the volume of spheroid and oblong solid bodies based on artificial vision technique

Sosa, M.; Huerta, C.; Bernal-alvarado, J.; Martinez, J. C.; Vargas, M.; Cordova-fraga, T.; Hernandez, E.

Facultad de Ciencias, UNAM, publicado en Revista Mexicana de Física, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Facultad de Ciencias, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Sosa, M., et al. (2009). A methodology to measure the volume of spheroid and oblong solid bodies based on artificial vision technique. Revista Mexicana de Física; Vol 55, No 002. Recuperado de https://repositorio.unam.mx/contenidos/41537

Descripción del recurso

Autor(es)
Sosa, M.; Huerta, C.; Bernal-alvarado, J.; Martinez, J. C.; Vargas, M.; Cordova-fraga, T.; Hernandez, E.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
A methodology to measure the volume of spheroid and oblong solid bodies based on artificial vision technique
Fecha
2009-01-01
Resumen
A methodology for assessing the volume of spheroid and oblong solid bodies is presented. Samples were mounted on a revolving platform that was driven by a computer-controlled stepping motor. Four hundred views (photographs) of each sample were acquired as they were uniformly rotated in the azimuth direction. The image processing was based on the artificial vision technique called segmentation. Using the information of the instantaneous radius and the small angle of rotation in each step, the numerical integration of the volume was performed. Images were captured using a CCD camera and the entire system was controlled by a routine developed in LabVIEW TM 6.1. Two sets of geometrical bodies (polystyrene cylinders and spheres) and three kinds of biological samples were measured. For the sake of comparison, each body was also measured by means of both a micrometric caliper and the displaced volume of water inside a vessel. The ANOVA correlation parameters between the proposed methodology and the hydrostatic procedure were found to be: r = 0.9924 and p = 0.0001, with α = 0.05. The coincidence between the results obtained with artificial vision and the hydrostatic technique was greater than 98% for spheres and cylinders. On the other hand, it was only up to 95% for the samples with non-regular shaped bodies (chicken hearts, kidneys and carrots). The purpose of the paper is to discuss in detail a simple technique which could be of interest to students of science and engineering.
Tema
Artificial vision; volume assessment; image processing
Idioma
eng
ISSN
2683-2224 (digital); 0035-001X (impresa)

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