Novel color HWML descriptors for scene and object image classification

Sugata Banerji, Atreyee Sinha, Chengjun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Several new image descriptors are presented in this paper that combine color, texture and shape information to create feature vectors for scene and object image classification. In particular, first, a new three dimensional Local Binary Patterns (3D-LBP) descriptor is proposed for color image local feature extraction. Second, three novel color HWML (HOG of Wavelet of Multiplanar LBP) descriptors are derived by computing the histogram of the orientation gradients of the Haar wavelet transformation of the original image and the 3D-LBP images. Third, the Enhanced Fisher Model (EFM) is applied for discriminatory feature extraction and the nearest neighbor classification rule is used for image classification. Finally, the Caltech 256 object categories database and the MIT scene dataset are used to show the feasibility of the proposed new methods.

Original languageEnglish (US)
Title of host publication2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012
Pages330-335
Number of pages6
DOIs
StatePublished - 2012
Event2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012 - Istanbul, Turkey
Duration: Oct 15 2012Oct 18 2012

Publication series

Name2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012

Other

Other2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012
CountryTurkey
CityIstanbul
Period10/15/1210/18/12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Keywords

  • Enhanced Fisher Model (EFM)
  • The HOG of Wavelet of Multiplanar LBP (HWML) descriptor
  • image search
  • scene and object classification
  • the Fused Color HWML (FCHWML) descriptor

Fingerprint Dive into the research topics of 'Novel color HWML descriptors for scene and object image classification'. Together they form a unique fingerprint.

Cite this