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Source publication
We present a method of measure of the roughness of the paper based in the analysis of speckle
pattern on the surface. Images are captured by
means of a simple configuration using a laser,
beam expander and a camera CCD. Then, we apply digital image processing using the gray level
co-occurrence matrix (GLCM) that has a descriptor that may be related...
Context in source publication
Context 1
... hará la consideración que la distribución de la textura de la imagen de prueba (imágenes del patrón de speckle), no es homogénea en todas las direcciones. Computemos la GLCM (Fig. 6) en las cuatro direcciones como las definió Haralick [15,16] Cada una de las cuatro GLCM definidas para la distancia y las direcciones indicadas, son simétricas, por lo cual la matriz de co-ocurrencia Cij normalizada, transforma a la GLCM en una aproximación de tabla de probabilidad, definida por la Ec. (2). ...
Citations
... That is why we propose that optical inspection methods, technology enable the use of non-invasive, i.e., not through contact with the surface is completely clean and samples depending on its constitution can be reused [3], [4], [6], [8], [14], and [15]. Since 2009, I have been conducting research in the field of optical metrology and image processing, developing a model for the evaluation of surface roughness in the paper industry, based on texture analysis using co-occurrence matrix of gray levels [23], [24], [25], [26] industrial sectors. Wherefore are plans to extend the field of application to other materials, laminates specifically metallic and nonmetallic used in Panamenian Industry. ...
... This project will use image processing techniques with second-order statistics, specifically the technique based on the cooccurrence matrix of gray levels (GLCM) [5], [12], [13], [17], [23], [24], [25], [26] ARMA (autoregressive movingaverage), Compressive Sensing [20], [21], [22]. Involves removing four GLCM textural descriptors capture a single image of the speckle pattern developed using the subjective speckle, i.e. speckle formation by an optical system [1], [2], [10], [11], [16]. ...
... Involves removing four GLCM textural descriptors capture a single image of the speckle pattern developed using the subjective speckle, i.e. speckle formation by an optical system [1], [2], [10], [11], [16]. With this setup you get the right size speckle pattern and to analyze the influence of: To establish an objective comparison between different texture descriptors examined with optical methods used, were considered and measures used confocal microscopy method as our yardstick, which were taken as the dependent variable the simple linear regression model adopted for the comparison and validation of our proposed method and developed [20], [21], [22], [23], [24], [25], [26]. The coefficient of determination " 2 R " was the measure chosen to evaluate the fit of each method. ...
A means of facilitating the transfer of Optical inspection methods knowledge and skills from academic institutions and their research partners into Panama optics and optical research groups is described. The process involves the creation of an Integrated Knowledge Group Research (IKGR), a partnership led by Polytechnic University of Panama with the support of the SENACYT and Optics and Optometry Department, Polytechnic University of Catalonia. This paper describes the development of the Project for knowledge transfer “Implementation of a method of optical inspection of low cost for improving the surface quality of rolled material of metallic and nonmetallic industrial use ”, this project will develop a method for measuring the surface quality using texture analysis speckle pattern formed on the surface to be characterized. The project is designed to address the shortage of key skills in the field of precision engineering for optical applications. The main issues encountered during the development of the knowledge transfer teaching and learning are discussed, and the outcomes from the first four months of knowledge transfer activities are described. In overall summary, the results demonstrate how the Integrated Knowledge Group Research and new approach to knowledge transfer has been effective in addressing the engineering skills gap in precision optics for manufactured industrial sector.
