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Novel precision target detection with adaptive thresholding for dynamic segmentation

机译:具有自适应阈值的新型精确目标检测用于动态分割

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摘要

A new adaptive thresholding algorithm concern- ing extraction of targets form the background in a given image sequence is proposed. The conventional histogram- image sequence is proposed. The conventional histogram- based or fixed-value thresholdings are deficient in detecting targets due to the poor contrast between targets and the back- ground, or to the change of illumination. This research solves the problems mentioned above by learning the characteris- tics of the background from the given images and determines the proper thresholds based on this information.
机译:提出了一种关于在给定图像序列中从背景中提取目标的自适应阈值算法。提出了传统的直方图图像序列。传统的基于直方图或固定值的阈值检测由于目标与背景之间的对比度差或照明的变化而无法检测目标。这项研究通过从给定图像中学习背景特征来解决上述问题,并根据此信息确定适当的阈值。

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