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首页> 美国政府科技报告 >Contextual image segmentation system using a priori information for automatic data classification in nuclear physics
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Contextual image segmentation system using a priori information for automatic data classification in nuclear physics

机译：利用先验信息进行核物理自动数据分类的上下文图像分割系统

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This paper presents an original approach to solve an automatic data classification problem by means of image processing techniques. The classification is achieved using image segmentation techniques for extracting the meaningful classes. Two types of information are merged for this purpose: the information contained in experimental images and a priori information derived from underlying physics (and adapted to image segmentation problem). This data fusion is widely used at different stages of the segmentation process. This approach yields interesting results in terms of segmentation performances, even in very noisy cases. Satisfactory classification results are obtained in cases where more ''classical'' automatic data classification methods fail. (authors). 25 refs., 14 figs., 1 append. (Atomindex citation 27:057016)

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