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Speckle reducing bilateral filter for cattle follicle segmentation.

Jinshan Tang1, Shengwen Guo, Qingling Sun

  • 1Image Processing and Bioimaging Research Laboratory, System Research Institute & Department of Advanced Technologies, Alcorn State University, Alcorn State, MS, USA. jtang@alcorn.edu

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Summary

A new bilateral filter effectively reduces speckle in cattle ultrasound images, improving follicle segmentation and measurement accuracy. This method enhances diagnostic capabilities in veterinary reproductive imaging.

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Area of Science:

  • Veterinary Medicine
  • Biomedical Imaging
  • Image Processing

Background:

  • Ultrasound imaging is crucial for cattle reproduction, monitoring follicular development.
  • Image speckles hinder accurate follicle segmentation and measurement.
  • Speckle reduction is essential for reliable ultrasound-based reproductive assessments.

Purpose of the Study:

  • To develop and evaluate a novel bilateral filter for speckle reduction in cattle ultrasound images.
  • To improve follicle segmentation and measurement accuracy by mitigating image speckles.

Main Methods:

  • A new bilateral filter was developed, incorporating normalized difference in Gaussian intensity difference calculation.
  • The filter was applied to synthetic and real cattle ultrasound images.
  • Follicle segmentation performance was assessed on original, Gaussian-filtered, and conventionally filtered images.

Main Results:

  • The proposed bilateral filter effectively reduced speckles in both high and low-intensity regions.
  • Speckle reduction significantly improved follicle segmentation accuracy.
  • The new filter outperformed Gaussian and conventional bilateral filters in speckle reduction and segmentation.

Conclusions:

  • The novel bilateral filter offers superior speckle reduction in cattle ultrasound images.
  • Improved image quality leads to enhanced follicle segmentation and measurement accuracy.
  • This method has significant potential for improving reproductive diagnostics in cattle.