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A target recognition method based on blocking partition and FM-TS network technology

机译:基于分块划分和FM-TS网络技术的目标识别方法

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Aiming at the special need of image processing in imaging fuze, a feature extraction method based on blocking partition to target image is studied. The image can be divided into several blocks according to their connectivity and changing trends. The structure features of each block and the relationship with other blocks are extracted. In order to recognize the conditions of missile-target encounters and the key parts of the targets reliably, we introduce the FM-TS network. The learning process of the network is given. Experimental results confirm that the algorithm can accomplish target recognition effectively.
机译:针对成像引信中图像处理的特殊需求,研究了一种基于块分割对目标图像的特征提取方法。根据图像的连通性和变化趋势,图像可以分为几个块。提取每个块的结构特征以及与其他块的关系。为了可靠地识别导弹与目标相遇的条件以及目标的关键部分,我们引入了FM-TS网络。给出了网络的学习过程。实验结果证明该算法可以有效地完成目标识别。

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