Humberto Loaiza

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Infrared thermography is a nondestructive evaluation technique in which the specimen surface is thermally stimulated to produce a temperature difference between "sound" (free of defects) areas and eventual defective regions. It is well known that the thermographic methods based on the thermal contrast are strongly affected by non-uniform heating at the(More)
In this paper, a technique based on a new model from finite differences discretization of Fourier heat propagation in 3D, is presented in order to be applied on a sequence of infrared images to enhance contrast and automatically detect and characterize flaws in composite slabs. The performance of this technique is evaluated using artificial thermal(More)
Many applications of Colour Image Processing have problems with changes of the illuminant, in this work we present some contributions to the research line called Computational Colour Constancy that could provide solutions to those problems. Colour Constancy is the ability through which colour perception remains almost constant despite changes in the(More)
The possible applications of Themographic Nondestructive Testing (TNDT) have been limited due to nonlinear nature of inverse problems such as the calculation of defect’s depths in a material. The Neural Networks have been applied to extract quantitative information in TNDT where the presence of noise and the inverse nature of the characterization problem(More)
We present a comparative study about stereoscopic reconstruction process focused in modelling for parallel axis stereoscopic cameras. We used two classical models and one based on Artificial Neural Networks for modelling the parallel axis system. Then we used the root mean square of distances between the point coordinates calculated from images and measured(More)