Motion-based segmentation by Principal Singular Vector (PSV) clustering method

Sun-Yuan Kung, Yun Ting Lin, Yen Kuang Chen

Research output: Contribution to journalConference article

5 Scopus citations

Abstract

Principal Singular Vectors (PSVs) are used to facilitate color image segmentation. This approach allows the derivation of feature-blocks with different object-based motions which can be divided into regions having consistent motion. It also enables images to retain a high degree of neighborhood property for improved image quality.

Original languageEnglish (US)
Pages (from-to)3410-3413
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume6
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: May 7 1996May 10 1996

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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