DOI:
https://doi.org/10.14483/22484728.11753Published:
2016-12-20Issue:
Vol. 10 No. 2 (2016)Section:
A Case-Study VisionSoftware de registro para experimentos bidimensionales realizados en una mesa de suspensión de aire
Registration software for two-dimensional experiments performed on an air suspension table
Keywords:
choque de partículas 2D, cojín de aire, procesamiento de imágenes, umbral (es).Keywords:
2D particle collision, air cushion, image processing, thresholding. (en).Downloads
Abstract (es)
El presente trabajo tiene como objetivo documentar la sustitución del costoso papel metálico utilizado por la mesa con el cojín de aire Leybold Didactic GMBH – donde se registra el movimiento y las colisiones de dos partículas en una superficie bidimensional. Tales experimentos emplean dos cilindros que se mueven sobre la mesa con una fricción mínima debido al cojín de aire producido por ellos mismos, lo que les permite moverse casi sin fricción sobre la superficie del vidrio. La investigación descrita condujo al diseño de un software de procesamiento de imágenes en el que se desarrolla un algoritmo para adquirir, procesar y registrar la trayectoria de dos cilindros que se mueven sobre la mesa con un mínimo de fricción. Para llevar a cabo esto se realiza un estudio de los experimentos hechos sobre la mesa y mostrados en el papel metalizado de registro. Basándose en los resultados, esta herramienta digital está diseñada para reemplazar el papel y permite a la comunidad académica utilizar esta tabla de manera sostenible y sin depender de insumos costosos. Adicionalmente, se analizó el error obtenido debido al paso de imágenes a través del algoritmo, resultando sólo un 3% del error total con respecto al obtenido usando el papel real.
Abstract (en)
This work is aimed to document the replacement the expensive registering metallized paper used by the table with air cushion Leybold Didactic GMBH to record the movement and collisions of two particles on a two dimensional surface. Those experiments use two cylinders that move on the table with minimal friction due to air cushion produced by themselves, which allows them to move almost without friction on the glass surface. The research work involves the design of image processing software in which an algorithm has to acquire, process and record the trajectory of two cylinders that move on the table with minimal friction is developed. For implement this, a study of the experiments carried out on the table and displayed on the registering metallized paper is made. Based on the results this digital tool is design to replace the paper and allow the academic community to use this table sustainably and without relying on costly inputs. Additionally it was analyzed the error obtained due to the pass of images through the algorithm, resulting just a 3% of total error than respect to using real paper.
References
L. Springob, “Power Electronics and Drive Technology,” Leybold Didact. GMBH, 1999.
F. Röhmer, “Lebensmittelchemie.” Leybold Didactic GmbH. [Online]. Available: http://www.leybold-shop.com/physics/physics-equipment/mechanics/dynamics-and-kinematics/air-table/air-table-337801.html
U. Qidwai and C. Chen, “Digital image processing: an algorithmic approach with MATLAB”. CRC press, New York, 2009.
R. C. Gonzalez, R. E. Woods, and S. L. Eddins, “Digital image processing using MATLAB”. Pearson Prentice Hall, Upper Saddle River, NJ, 2004.
R. C. Gonzalez and R. E. Woods, “Digital image processing”. Prentice Hall, Upper Saddle River, NJ, 2002.
A. C. Bovik, “Handbook of image and video processing”. Academic press, New York, 2010.
W. K. Pratt, “Digital image processing: PIKS inside”. Jhon Wiley & Sons, New York, 2001.
T. Acharya and A. K. Ray, “Image processing: principles and applications”. John Wiley & Sons, New York, 2005.
B. Jähne, “Practical handbook on image processing for scientific and technical applications”. Springer, Berlín, 2004.
J. C. Russ, “The image processing handbook”. CRC press, Boca Ratón, 2015.
A. A. Adamczyk and L. Rimai, “2-Dimensional particle tracking velocimetry (PTV): technique and image processing algorithms,” Exp. Fluids, vol. 6, no. 6, pp. 373–380, 1988.
B. Khalighi and Y. H. Lee, “Particle tracking velocimetry: an automatic image processing algorithm,” Appl. Opt., vol. 28, no. 20, pp. 4328–4332, 1989.
E. Marchand, P. Bouthemy, F. Chaumette, and V. Moreau, “Robust real-time visual tracking using a 2D-3D model-based approach,” in IEEE Int. Conf. on Computer Vision, ICCV’99, vol. 1, pp. 262–268. 1999,
P. Kipfer, M. Segal, and R. Westermann, “UberFlow: a GPU-based particle engine,” in Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware, New York, 2004, pp. 115–122.
J. Link, C. Zeilstra, N. Deen, and H. Kuipers, “Validation of a discrete particle model in a 2D spout-fluid bed using non-intrusive optical measuring techniques,” Can. J. Chem. Eng., vol. 82, no. 1, pp. 30–36, 2004.
1.png)
.jpg)
