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Proceedings Paper

Spatial correlogram between codewords: an effective representation for image classification
Author(s): Bo-jun Xie; Hui Zhang; Jian Yu
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Paper Abstract

This paper presents a new representation for image classification based on spatial correlogram approach. Spatial correlogram captures spatial co-occurrences of pairwise codewords. This representation augments traditional bag-of-features model by adding spatial information into it and compresses the information contained in a correlogram without loss of discriminative power. For the purpose of increasing classification accuracy, we combine the correlogram with spatial pyramid. In a number of image classification experiments, we find that, the proposed method reaches good performance and high accuracy.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782V (19 July 2013); doi: 10.1117/12.2030729
Show Author Affiliations
Bo-jun Xie, Beijing Jiaotong Univ. (China)
Hebei Univ. (China)
Hui Zhang, Beijing Jiaotong Univ. (China)
Hebei Univ. (China)
Jian Yu, Beijing Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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