This paper brings forward a new approach for region labeling by using double Pulse Coupled Neural Networks (PCNN) and morphology.

提出了一种双层脉冲耦合神经网络与数学形态学相结合的区域标识算法。

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Common region labeling algorithms often cannot meet the requirement of processing image at real-time because of the limitation of processing time and memory space.

由于处理时间和存储空间的限制，常规的区域标记算法往往无法满足实时图像处理的需要。

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A new fast region-labeling algorithm is proposed in view of these shortcomings.

针对这些不足，提出了一种新的快速区域标记算法。

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A new fast region-labeling algorithm is proposed in view of these shortcomings.

针对这些不足，提出了一种新的快速区域标记算法。

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