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Wyświetlanie 1-2 z 2
Tytuł:
Measurement of agglomerate shape using three-dimensional reconstruction based on a laser displacement sensor
Autorzy:
Zavala De Paz, J. P.
Castillo Castañeda, E.
Soto Herrera, J.
Turchiuli, C.
Powiązania:
https://bibliotekanauki.pl/articles/220899.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
agglomerated particles
laser displacement sensor
shape parameters
three-dimensional reconstruction
Opis:
The agglomeration of particles is a process that modifies the physical properties of a product originally manufactured as a powder. During milk powder agglomeration of fluidized bed, resulting agglomerates are sufficiently porous to improve the solubility of the final product but, at the same time, their rigidity decreases and agglomerates can be destroyed during packing. The porosity and rigidity properties depend on both the volume and shape characteristics of the agglomerates. This paper presents a three-dimensional reconstruction technique based on a laser displacement sensor (LDS) applied to characterize milk agglomerates. This technique allows three-dimensional scanning to estimate particle volume and extract shape parameters such as: sphericity, elongation and flatness ratio, shape factor and aspect ratio. This technique was implemented using a mechatronic device with two degrees of freedom. The device is composed of an angular positioning system to rotate the agglomerate and a linear positioning system to displace the LDS. Experimental result allows agglomerates classification according to shape parameters.
Źródło:
Metrology and Measurement Systems; 2013, 20, 3; 407-418
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of an acousto-optic system for hyperspectral image segmentation
Autorzy:
Isaza, César
Mosquera, Julio M.
Gómez-Méndez, Gustavo A.
Zavala-De Paz, Jonny P.
Karina-Anaya, Ely
Rizzo-Sierra, José A.
Palillero-Sandoval, Omar
Powiązania:
https://bibliotekanauki.pl/articles/949748.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
hyperspectral imaging
acousto-optic system
image segmentation
Opis:
Image segmentation is a typical operation in many image analysis and computer vision applications. However, hyperspectral image segmentation is a field which have not been fully investigated. In this study an analogue-digital image segmentation technique is presented. The system uses an acousto-optic tuneable filter, and a CCD camera to capture hyperspectral images that are stored in a digital grey scale format. The dataset was built considering several objects with remarkable differences in the reflectance and brightness components. In addition, the work presents a semi-supervised segmentation technique to deal with the complex problem of hyperspectral image segmentation, with its corresponding quantitative and qualitative evaluation. Particularly, the developed acousto-optic system is capable to acquire 120 frames through the whole visible light spectrum. Moreover, the analysis of the spectral images of a given object enables its segmentation using a simple subtraction operation. Experimental results showed that it is possible to segment any region of interest with a good performance rate by using the proposed analogue-digital segmentation technique.
Źródło:
Metrology and Measurement Systems; 2019, 26, 3; 517-530
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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