基于群体智能边缘提取算法的联合变换相关器
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Joint transform correlator based on joint image feature extraction using swarm intelligence method
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    摘要:

    为提取联合变换相关器输入面图像的边缘,改善相关器的识别效果,提出了一种基于群体智能的图像特征提取方法,并将其应用于联合变换相关器的输入面图像预处理中。实验结果表明该算法有效提取了图像的边缘,锐化了相关峰,提高了联合变换相关器的目标识别能力。群体智能计算机并行算法与联合变换相关器光学并行系统相结合,为实现实时高效的光电混合目标识别系统奠定了坚实的理论基础。

    Abstract:

    An image feature extraction method based on swarm intelligence is used in the preprocessing of joint image in joint transform correlator.The swarm intelligence is superior to the conventional image processing method in its robust,flexible,fault tolerant,scalable,and highly parallelizable characteristic.The output results from the classical JTC without image preprocessing and the JTC with Sobel operator based joint image feature extraction are compared with that of the JTC using the swarm intelligence to extract the feature of joint image.Experiment results show the performance improvement of JTC using the feature extraction method based on swarm intelligence.

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王勇,朱明.基于群体智能边缘提取算法的联合变换相关器[J].激光与红外,2009,39(10):1126~1130
WANG Yong, ZHU Ming. Joint transform correlator based on joint image feature extraction using swarm intelligence method[J]. LASER & INFRARED,2009,39(10):1126~1130

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