Assessing the naturalness of scenes: An approach using statistics of local features

Jeremiah D. Deng, Russell S.A. Brinkworth, David C. O'Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

What statistics makes an image of natural scene different from that of an urban or artificial environment? This has been an intriguing research topic in recent years. In this paper, in contrast to the more popular approach of using global frequency spectral features, we propose to employ a few statistics measures derived from local edge and fractal features. Feature selection methods are used to reveal the relevance of the defined features. The effectiveness of the proposed feature scheme is demonstrated using benchmark digital image data as well as high dynamic range image data.

Original languageEnglish
Title of host publicationInternational Conference Image and Vision Computing New Zealand, IVCNZ
DOIs
Publication statusPublished - Nov 2008
Externally publishedYes
Event2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ - Christchurch, New Zealand
Duration: 26 Nov 200828 Nov 2008

Publication series

Name2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ

Conference

Conference2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ
CountryNew Zealand
CityChristchurch
Period26/11/0828/11/08

Keywords

  • Classification
  • Feature selection
  • Fractal
  • Natural scenes

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