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Color image processing by using binary quaternion-moment-preserving thresholding technique.

S C Pei1, C M Cheng

  • 1Electrical Engineering Department, National Taiwan University, Taipei, Taiwan, ROC. pei@cc.ee.ntu.edu.tw

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 13, 2008
PubMed
Summary

A novel binary quaternion-moment-preserving (BQMP) thresholding method enhances color image processing. This technique offers efficient computation and enables advanced applications like compression and subpixel edge detection.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Quaternion Algebra

Background:

  • Color image data analysis often requires sophisticated thresholding techniques.
  • Traditional methods may lack efficiency or accuracy in capturing complex color information.

Purpose of the Study:

  • Introduce a new moment-preserving thresholding technique for color images.
  • Develop quaternion-moment-based operators for diverse image processing tasks.

Main Methods:

  • Representing color data using quaternions to define quaternion moments.
  • Deriving analytical formulas for binary quaternion-moment-preserving (BQMP) thresholding.
  • Designing quaternion-moment-based operators for image compression, clustering, and edge detection.

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Main Results:

  • BQMP thresholding demonstrates computational efficiency, with complexity proportional to data size.
  • The proposed method achieves acceptable image quality for color image compression.
  • The developed edge detection operator successfully identifies color edges at the subpixel level.

Conclusions:

  • BQMP thresholding is an effective tool for processing color image data.
  • The technique facilitates efficient and accurate color image compression and subpixel edge detection.
  • Quaternion-based image processing offers a promising direction for future research.