The bounded variation quantity (B.V.Q.) and its application to feature extraction

Kaoru Hirota*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The concept of bounded variation quantity (B.V.Q.) is proposed as a local feature of patterns, especially waveform patterns and picture patterns. It is closely connected with the mathematically complicated concepts of total variation and distribution, but the result is shown by a simplified form (i.e. a summation of absolute differences) for concrete calculations. Its availability is also demonstrated through several applications such as seismic-wave analysis, the estimation of standard deviation in an independent Gaussian process and a method of detecting the directionality of picture patterns.

Original languageEnglish
Pages (from-to)93-101
Number of pages9
JournalPattern Recognition
Volume15
Issue number2
DOIs
Publication statusPublished - 1982
Externally publishedYes

Keywords

  • Bounded variation quantity (B.V.Q.)
  • Convergence ratio
  • Directionality
  • Gaussian noise
  • Local feature
  • Probabilistic set theory
  • Real-time processing
  • Seismic-wave analysis
  • Texture analysis
  • Theory of Distribution

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