Special Section on Color in Texture and Material Recognition

Combining multiple features for color texture classification

[+] Author Affiliations
Claudio Cusano

University of Pavia, Department of Electrical, Computer, and Biomedical Engineering, Via Ferrata 1, 27100 Pavia, Italy

Paolo Napoletano, Raimondo Schettini

University of Milan-Bicocca, Department of Informatics, Systems, and Communication, Viale Sarca 336, 20126 Milano, Italy

J. Electron. Imaging. 25(6), 061410 (Jul 12, 2016). doi:10.1117/1.JEI.25.6.061410
History: Received March 26, 2016; Accepted June 20, 2016
Text Size: A A A

Abstract.  The analysis of color and texture has a long history in image analysis and computer vision. These two properties are often considered as independent, even though they are strongly related in images of natural objects and materials. Correlation between color and texture information is especially relevant in the case of variable illumination, a condition that has a crucial impact on the effectiveness of most visual descriptors. We propose an ensemble of hand-crafted image descriptors designed to capture different aspects of color textures. We show that the use of these descriptors in a multiple classifiers framework makes it possible to achieve a very high classification accuracy in classifying texture images acquired under different lighting conditions. A powerful alternative to hand-crafted descriptors is represented by features obtained with deep learning methods. We also show how the proposed combining strategy hand-crafted and convolutional neural networks features can be used together to further improve the classification accuracy. Experimental results on a food database (raw food texture) demonstrate the effectiveness of the proposed strategy.

Figures in this Article
© 2016 SPIE and IS&T

Citation

Claudio Cusano ; Paolo Napoletano and Raimondo Schettini
"Combining multiple features for color texture classification", J. Electron. Imaging. 25(6), 061410 (Jul 12, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.6.061410


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.