A new method for image segmentation based on Fuzzy C-means algorithm on pixonal images formed by bilateral filtering

Ehsan Nadernejad, Sara Sharifzadeh

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

In this paper, a new pixon-based method is presented for image segmentation. In the proposed algorithm, bilateral filtering is used as a kernel function to form a pixonal image. Using this filter reduces the noise and smoothes the image slightly. By using this pixon-based method, the image over segmentation could be avoided. Indeed, the bilateral filtering, as a preprocessing step, eliminates the unnecessary details of the image and results in a few numbers of pixons, faster performance and more robustness against unwanted environmental noises. Then, the obtained pixonal image is segmented using the hierarchical clustering method (Fuzzy C-means algorithm). The experimental results show that the proposed pixon-based approach has a reduced computational load and a better accuracy compared to the other existing pixon-based image segmentation techniques.
Original languageEnglish
JournalSignal, Image and Video Processing
Volume7
Issue number5
Pages (from-to)855-863
ISSN1863-1703
DOIs
Publication statusPublished - 2013

Keywords

  • Image segmentation
  • Bilateral filtering
  • Fuzzy C-mean
  • Pixonal image

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