A quantum-modeled K-means clustering algorithm for multi-band image segmentation

  • Authors:
  • Ellis Casper;Chih-Cheng Hung;Edward Jung;Ming Yang

  • Affiliations:
  • Southern Polytechnic State University, Marietta, GA;Southern Polytechnic State University, Marietta, GA;Southern Polytechnic State University, Marietta, GA;Southern Polytechnic State University, Marietta, GA

  • Venue:
  • Proceedings of the 2012 ACM Research in Applied Computation Symposium
  • Year:
  • 2012

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Abstract

A Quantum-Modeled K-Means clustering algorithm for multi-band image segmentation is explored and evaluated. Data sets of interest include multi-band RGB imagery, which subsequent to classification is analyzed and assessed for accuracy. Results demonstrate that under specific conditions the algorithm exhibits improved accuracy, when compared to its classical counterpart.