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Salient building detection in natural image using SVM

  • Xiamen University
  • IEEE
  • Xi'an Jiaotong University

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

4 Scopus citations

Abstract

This paper present a novel algorithm via support vector machine to detect the salient buildings whose height and many features make them stand out. Two-level Haar wavelet decomposition is implemented on the image to enhance the building candidates. And then the desired regions are separated from the background. A set of structure features is proposed to capture the generic statistic properties of the salient building using Sobel operator. The proposed approach has been tested on many real examples with good results.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings
Pages126-130
Number of pages5
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Vehicular Electronics and Safety - Xi'an, Shaan'xi, China
Duration: 14 Oct 200516 Oct 2005

Publication series

Name2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings
Volume2005

Conference

Conference2005 IEEE International Conference on Vehicular Electronics and Safety
Country/TerritoryChina
CityXi'an, Shaan'xi
Period14/10/0516/10/05

Keywords

  • Salient building detection
  • Sobel operator
  • Support vector machine
  • Wavelet decomposition

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