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Research and design on the train fixed hook detection system based on the improved FCM

机译:基于改进FCM的火车定制钩检测系统的研究与设计

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In line with the characteristics of using color to symbol train carriages in Qinhuangdao port, this paper adopts the improved FCM algorithm, which is improved on CIE Lab space and ant colony algorithm and combined with wavelet denoising to realize color clustering. This method uses global and robustness advantages of ant colony algorithm, combines and sets clustering center through A and B component of CIE Lab space, which is to be initial center of FCM and can overcome FCM local optimal faults. Finally, the ARM9 experimental platform based on Linux system would verify the algorithm, which shows that this system can achieve higher identification accuracy and can meet the application requirements on the detection system.
机译:符合在秦皇岛港口符号火车架的使用颜色的特点,采用改进的FCM算法,改善了CIE实验室空间和蚁群算法,并结合了小波去噪来实现彩色聚类。 该方法使用蚁群算法的全局和鲁棒性优势,通过CIE Lab空间的A和B分量组合和设置聚类中心,即CIE实验室空间的A和B分量,这是FCM的初始中心,可以克服FCM本地最佳故障。 最后,基于Linux系统的ARM9实验平台将验证该算法,表明该系统可以实现更高的识别精度,并可以满足检测系统的应用要求。

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