Stochastic texture images representing various foil materials (like polymer sheets, nonwoven textiles and paper) provide important information about these materials, and are very utilized in industry. Often, it is dif...
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this paper presents a new approach to image 3-D interpolation using Bayesian estimation theory. Two methods are presented, depending on the used a priori information. the approach is applied to interpolate X-Ray image...
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Segmentation is an important step in image analysis for remote sensing;it is responsible for splitting the image into two distinct parts so. Current segmentation methods used in images of this type are usually based o...
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this paper presents a new fractal color image compression method, called Fractal Hierarchical Color Block Coding (FHCBC), which transforms the three-color planes of a color image into a one-component image by extracti...
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In this work, we present a method which is able to relate different MR sensors with respect to intensity distortions in the output images. For the important problem of image registration, the method makes possible a p...
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this paper presents a new scheme for analysis of linear directional components in images by using a multiresolution representation based on Gabor wavelets. A dictionary of Gabor filters with varying tuning frequency a...
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Many papers have presented rendering techniques and simplification ideas withthe objective of speeding up image generation for irregular grid data sets. For large data sets, however, even the current fastest algorith...
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In this work the architecture of an animation machine is proposed. Its main goals are the definition of the animation in a more abstract level and the simulation of the characters' behaviors to detect undesired si...
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In this work the architecture of an animation machine is proposed. Its main goals are the definition of the animation in a more abstract level and the simulation of the characters' behaviors to detect undesired situations.
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