1,721,123 research outputs found

    Optimal Range Segmentation Parameters Through Genetic Algorithms

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    A wide number of algorithms for surface segmentation in range images have been recently proposed characterized by different approaches (edge filling, region growing, ...), different surface types (either for planar or curved surfaces) and different parameters involved. Optimization of the parameter set is a particularly critical task since the range of parameter variability is often quite large: parameter selection depends on surface type, sensors and the required speed which strongly affect performance. A framework for parameters optimization is proposed based on genetic algorithms. Such algorithms allow a general approach that has been successfully applied on different state-of-the-art segmenters and different range image databases

    IMAGE SEGMENTATION BY A MULTIRESOLUTION APPROACH

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    Multiresolution approaches to computer vision are able to rapidly detect and extract global structures from an image. In this paper we present (a) a pyramid-based algorithm that can detect the bimodality of the population of pixels in a grey level digital image and (b) a pyramid-based algorithm that maps the values of a bimodal population into two constant values which are approximately the means of the two component subpopulations. A population is considered bimodal if it can be divided into two component subpopulations whose variances are small relative to the population variance. An improvement to the above algorithm, which uses an iterative scheme, is also given, as well as some examples of segmented images. Both algorithms require processing times on the order of the logarithm of the population size

    The Theory of Visual Sentences to Formalize Interactive Visual Messages

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    This chapter introduces an approach to the theory of visual languages based on the notion of visual sentence as defined by the integration of pictures and descriptions. The chapter proceeds firstly by tracking the history of the ideas that stemmed from the initial IEEE Workshop held at Hiroshima (Japan) during 1984 and then gradually progressing toward the formalisms that build up the theory of visual languages. The theory of visual sentences allows a coherent view of both static and dynamic aspects of human-computer interaction, as well as of the relations between the user and the machine during the interaction
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