数字图像中的小尺度目标选择

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI:10.1109/SCM.2017.7970663

V. Volkov, Alexey Bachturin

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引用次数: 0

摘要

研究了噪声图像中小尺度扩展对象的分配问题。所述处理结构包括指定大小的孤立片段的预滤波器和多阈值选择。对于自适应阈值的设置，用来评估选择片段的有效性。

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Small-scale objects selection in digital images

Examines the problem of allocation of small-scale extended objects in noisy images. The processing structure includes a pre-filter and multithreshold selection of isolated fragments of the specified size. For the setting of adaptive thresholds is used to assess the effectiveness of selection fragments.

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来源期刊

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)

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