Color Edge Detection Using the Minimal Spanning Tree Algorithm and Vector Order Statistic

نویسندگان

  • Bilqis Amaliah
  • Chastine Fatichah
  • Diah Arianti
چکیده

The edge detection approach based on minimal spanning tree and vector order statistic is proposed. Minimal spaning tree determined ranking from the observations and identified classes that have similarities. Vector Order Statistic view a color image as a vector field and employ as a distance metrics. Experiment of edge detection on several images show that the result of minimal spanning tree is smoother and more computational time comparing to that vector order statistic.

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تاریخ انتشار 2012