Image segmentation using densely constructed mean-shift vectors

Hanjoo Cho, Sung In Cho, Young Hwan Kim

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents an image up-scaling based approach to improving the quality of image segmentation that uses linked mean-shift vectors [6]. While already effective, the segmentation quality of [6] can be further improved by strengthening the approximation process it uses. Making up for the weakness, the proposed algorithm remarkably outperformed existing competitor algorithms in segmentation quality by Probabilistic Rand Index [8] and Segmentation Covering [9] for Berkeley Segmentation Dataset [7].

Original languageEnglish
Pages (from-to)1176-1179
Number of pages4
JournalDigest of Technical Papers - SID International Symposium
Volume45
Issue number1
DOIs
StatePublished - Jun 2014

Keywords

  • image segmentation
  • mean-shift algorithm
  • single instruction multiple data

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