Caracterização de imagens de microtomografia de raios X baseada em descritores de textura

• Autor(a) principal: Fernandes, Sandro Roberto
• Data de Publicação: 2012
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/13650
• topic: X-Ray - Computed microtomography; Texture descriptors; Image prossessing; Tridimensional reconstruction; Microtomografia computadorizada; Descritores de textura; Processamento de imagens; Reconstrução tridimensional; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::MATEMATICA DA COMPUTACAO::MODELOS ANALITICOS E DE SIMULACAO

X-ray Computed Microtomography (μCT) allows a non destructive analysis of samples besides making it possible to reuse them. μCT also allows the reconstruction of tridimensional objects from its transverse sections obtained intersecting the sample through parallel planes. μCT devices offer the user several configuration options which alter the quality of the images obtained affecting, this way, the results expected. In this study, the characterization and analysis of μCT images generated by the X-ray tomograph scannerSkyScan1174 Compact Micro-CT was performed. The basis of this characterization is the processing of images. Enhancement techniques were applied (brightness, saturation, histogram equalization and median filter) in the original images creating new images. Next, the quantification of both sets was performed, using texture descriptors (maximum likelihood, moment of difference, inverse difference moment , entropy and uniformity). The results show that, compared to the originals, the images which went through enhancement techniques had improved when their three-dimensional models were generated.