Spatial correlogram between codewords: an effective representation for image classification

Bo-jun Xie; Hui Zhang; Jian Yu

doi:10.1117/12.2030729

19 July 2013 Spatial correlogram between codewords: an effective representation for image classification

Bo-jun Xie, Hui Zhang, Jian Yu

Author Affiliations +

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782V (2013) https://doi.org/10.1117/12.2030729
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

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.

Citation Download Citation

Bo-jun Xie, Hui Zhang, and Jian Yu "Spatial correlogram between codewords: an effective representation for image classification", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782V (19 July 2013); https://doi.org/10.1117/12.2030729

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