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Titlebook: Image Technology; Advances in Image Pr Jorge L. C. Sanz Book 1996 Springer-Verlag Berlin Heidelberg 1996 Bayesian network.Image segmentatio

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A Bayesian Network for Automatic Visual Crowding Estimation in Underground Stations,ece-wise linear models allow mapping from the feature value space to the number of people to be performed. The modelling algorithm, based on the Bellman Principle, is discussed. Results obtained after an extended test phase in a station of Genova’s underground are reported.
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Automatic System of Quality Control by Vision of Hybrid Circuits, circuits are intended for industrial purposes, for professional equipment and the general public where the controls imposed are severe. This system therefore allows automatic control of electronic circuits performed manually up until this day.
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Texture Analysis in Industrial Applications,y, a comparative study of the texture measures is carried out by using a classification principle based on comparing sample distribution of feature values to predefined model distributions with known true class labels.
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Methods for Illumination-Invariant Image Processing,ues. Relevant hardware considerations are also discussed including the number of bits per pixel required for digitization, minimizing the dynamic range of the data for image processing, and camera requirements. Three applications using illumination-invariant processing techniques are also provided.
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Splines and Spline Fitting Revisited,observers. Least-squares approximation of analytic curves and discrete point sets is also discussed. Special attention is devoted to the problem of selecting the bast fit to a closed curve, considering all the possible shifted parametric descriptions of the curve.
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