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Related Experiment Video

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Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy
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Multifocus image fusion method for image acquisition of 3D objects.

Changsheng Li, Xianmin Zhang, Heng Wu

    Applied Optics
    |June 8, 2018
    PubMed
    Summary

    This study introduces a new multifocus image fusion method combining transform and spatial domains. The technique enhances image sharpness for 3D object analysis and defect identification.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Optical Metrology

    Background:

    • Achieving all-in-focus images from multiple-focus source images is crucial for 3D object analysis.
    • Existing multifocus image fusion methods face challenges in preserving correlations and accurately evaluating local saliency.

    Purpose of the Study:

    • To propose a novel multifocus image fusion method for generating all-in-focus images of 3D objects.
    • To enhance the performance and accuracy of image fusion for 3D surface optical detection and defect identification.

    Main Methods:

    • A hybrid approach combining discrete wavelet transform (DWT) in the transform domain and spatial domain techniques.
    • Decomposition of source images into low-frequency and high-frequency components using DWT.
    • Correlation coefficient for low-frequency component similarity and spatial domain comparison for high-frequency components.

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  • Sliding window approach for accurate local pixel saliency evaluation.
  • Fusion using source images and a generated saliency map.

    • Main Results:

    • The proposed method successfully synthesizes all-in-focus images from multiple-focus inputs.
    • Quantitative evaluation using metrics like variance, entropy, spatial frequency, mutual information, edge intensity, and QAB/F demonstrates enhanced fusion performance.
    • Experimental results show superior fusion quality compared to widely used techniques.

    Conclusions:

    • The developed multifocus image fusion method effectively produces sharp, all-in-focus images of 3D objects.
    • The method is well-suited for 3D surface optical detection, enabling complete scene imaging at varying distances for subsequent defect identification.