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Automatic marbles classification based on their visual appearance is an important industrial issue. However, there is no definitive solution to the problem, mainly due to the presence of randomly distributed high number of different colors and due to the subjective evaluation made by human experts. In this paper, we present a study of soft computing classification algorithms, which proved to be a...
We present a multidimensional histogram method to inspect tonality on colour textured surfaces, e.g. ceramic tiles. Comparison in the noise dominated chromatic channels is error prone. We perform vector-ordered colour smoothing and generate a PCA-based reconstruction of a query tile based on a reference tile eigenspace. Histograms of local feature vectors are then compared for tonality defect detection...
This work presents a digital image processing technique for the automated visual inspection of glass bottles based on a well-known method used for inspecting aluminium die castings. The idea of this method is to generate median filters adapted to the structure of the object under test. Thus, a “defect-free” reference image can be estimated from the original image of the inspection object. The reference...
The automated flaw detection in aluminium castings consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of potential defects into ‘defects’ and ‘regular structures’ (false alarms) using pattern recognition techniques. In the second step, since several features can be extracted from the potential defects, a feature selection must be...
Industrial production of important fermentation products such as enzymes, antibiotics, and aroma compounds, amongst others, involves a multiphase dispersion. Therefore, it is important to determine the influence of the bioreactor operational parameters (stirring speed, impeller type, power drawn, etc.) under which the culture achieves the highest yields. The automatic on-line analysis of multiphase...
This paper describes various techniques to detect defects in textile images. These techniques are based on multichannel Gabor features. The building blocks of our approaches are: a modified principal component analysis (PCA) technique, to select the most relevant features; one-class classification techniques (a global Gaussian model, a nearest neighbor method, and a local Gaussian model). Experimental...
In the production of raw steel blocks the surface should be free of surface defects. Flaws degrade the quality and deteriorate the treatment in subsequent production steps. The surface of the steel blocks is covered with scale which causes a strongly alternating reflectance property. Due to this fact traditional intensity imaging techniques yield inferior performance. Therefore, light sectioning in...
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