基于动态宇宙算法的磁光成像增强研究
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共青团河南省省委专项调研课题(No.QSNYJ2017277)资助。


Magneto optic image enhancement based on dynamic universe algorithm
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    摘要:

    为了提高磁光成像增强的效果,提出动态宇宙算法。首先建立宇宙空间模型,宇宙连接距离随着层的变化而动态改变;接着宇宙间信息交流、位置更新涉及到不同层、相同层;然后基于灰度因子对磁光成像对比度提高,通过灰度积分投影定位获得磁畴位置,总变差模型对磁畴纹理去除;最后给出了算法流程。实验仿真显示交变电压越大产生的磁感应强度越强,漏磁的磁光成像效果就越好;激励线圈旋转与焊接处垂直时,漏磁的磁感应强度达到极值;本文算法能够减少增强过程中磁畴的影响,增强图像较清晰,评价指标较优。

    Abstract:

    In order to improve the enhancement effect of magneto optic image,a dynamic universe algorithm is proposed.Firstly,the space model is established,universe connection distance was changed dynamically with the change of layer.Secondly,the information exchange and location are updated between the universe involve different layers and the same layer.Thirdly,the contrast of magneto optic image is improved based on gray factor,the magnetic domain position is obtained by gray integral projection,and the magnetic domain texture is removed based on total variation model.Finally,the algorithm process is given.The experimental simulation shows that the more alternating voltage is great,the more magnetic induction intensity is strong,and the magneto optic image effect of magnetic flux leakage is good.The excitation coil rotate is perpendicular to the welding joint,the magnetic induction intensity of magnetic flux leakage have extreme value.Dynamic universe algorithm can reduce the influence of magnetic domain of pixels in the enhancement process,the enhanced image is clearer and the evaluation index is better than other algorithms.

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刘艳涛.基于动态宇宙算法的磁光成像增强研究[J].激光与红外,2022,52(3):368~374
LIU Yan-tao. Magneto optic image enhancement based on dynamic universe algorithm[J]. LASER & INFRARED,2022,52(3):368~374

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  • 最后修改日期:2021-10-12
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  • 在线发布日期: 2022-03-22