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Wide-Angular Tolerance Optical Filter Design and Its Application to Green Pepper Segmentation.

Jun Yu1, Shu Zhan2, Toru Kurihara1

  • 1School of Information, Kochi University of Technology, Kami 782-8502, Kochi, Japan.

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Summary
This summary is machine-generated.

This study introduces a new optical filter design method for wide-angle imaging. The novel approach improves transmittance curves at oblique angles, enhancing image segmentation accuracy for near-color objects.

Keywords:
automatic differentiationoptical filtersegmentationtransfer matrix methodwide angular

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Area of Science:

  • Optics and Photonics
  • Image Processing
  • Computer Vision

Background:

  • Optical filters are crucial for wide-angle imaging but suffer performance degradation at oblique incident angles.
  • Traditional filters exhibit altered transmission curves due to changes in the optical path of incident light.

Purpose of the Study:

  • To develop a wide-angular tolerance optical filter design method.
  • To evaluate the impact of this improved filter design on image segmentation tasks.

Main Methods:

  • Utilized the transfer matrix method and automatic differentiation for filter design.
  • Proposed a novel optical merit function for simultaneous optimization at normal and oblique incidence.
  • Integrated the optimized optical filters with a U-Net architecture for image segmentation.

Main Results:

  • The proposed wide-angular tolerance design achieved similar transmittance curves at oblique angles compared to normal incidence.
  • Demonstrated an average 50% reduction in mean absolute error (MAE) for image segmentation at a 20° oblique incident angle.
  • Showcased a 0.3% improvement in segmenting near-color objects at a 20° oblique incident angle.

Conclusions:

  • The developed method effectively creates optical filters with wide-angular tolerance, maintaining performance across different incident angles.
  • This advancement significantly enhances the accuracy of image segmentation, particularly for challenging near-color objects in wide-angle imaging applications.