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

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available