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LIU Xin-liang, ZHANG Long-quan, LENG Sheng, WANG Jing-qiu, WANG Xiao-lei. An autofocus algorithm for fusing global and local information in ferrographic images[J]. Chinese Optics. doi: 10.37188/CO.2023-0124
Citation: LIU Xin-liang, ZHANG Long-quan, LENG Sheng, WANG Jing-qiu, WANG Xiao-lei. An autofocus algorithm for fusing global and local information in ferrographic images[J].Chinese Optics.doi:10.37188/CO.2023-0124

An autofocus algorithm for fusing global and local information in ferrographic images

doi:10.37188/CO.2023-0124
Funds:Supported by National Key Laboratory of Science and Technology on Helicopter Transmission (No. Grant Number HTL-A-21G03)
  • Available Online:08 Nov 2023
  • Objective

    To address the issues of large error and slow speed of manual focusing in ferrographic image acquisition, we propose an autofocus method for fusing global and local information in ferrographic images.

    Method

    This method includes two stages. In the first stage, the global autofocus stage, Convolutional Neural Networks (CNN) extract the feature vectors of the whole image, and the Gate Recurrent Unit (GRU) fuses the features extracted in the focus process to predict the global defocusing distance, which serves as coarse focusing. In the local autofocus stage, the system exacted the feature vector of the wear particle and employs the GRU to fuse the current features with those extracted in the previous focusing process. The resulting fused data predicts the current defocusing distance based on the information of the thickest particle, which facilitates fine focusing. Moreover, we propose a determination method for autofocus direction using Laplacian gradient function to improve autofocus accuracy.

    Result

    Experimental results indicate an autofocus error of 2.51 μm on the test set and a focusing accuracy of 80.1% with a microscope depth of field of 2.0 μm. The average autofocus time is 0.771 s.

    Conclusion

    The automatic ferrographic image acquisition system exhibits excellent performance and offers a practical approach for its implementation.

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