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Fast and Robust Portrait Segmentation Using QEA and Histogram Peak Distribution Methods

机译:使用QEA和直方图峰值分布方法快速且强大的肖像分割

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Image segmentation is kernel part of image analysis and processing. Fast and robust portrait segmentation and fusion is still a challenging problem by far. In this paper, we present two fast and robust methods to segment portrait in blue background. One method is threshold obtaining based on histogram peak distribution, the other is Quantum Evolution Algorithm (QEA) threshold searching based on group variance. Detailed experiments and comparison analyses are presented to demonstrate the performance of our methods.
机译:图像分割是图像分析和处理的内核部分。到目前为止,快速和强大的肖像分割和融合仍然是一个具有挑战性的问题。在本文中,我们展示了两种快速稳健的方法在蓝色背景中段肖像。一种方法是基于直方图峰值分布的阈值获得,另一个是基于组方差的量子演进算法(QEA)阈值搜索。提出了详细的实验和比较分析以证明我们的方法的性能。

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