Texture descriptor based on local approximations

A. I. Sherstobitov; V. I. Marchuk; D. V. Timofeev; V. V. Voronin; K. O. Egiazarian; Sos S. Agaian

doi:10.1117/12.2063666

22 May 2014 Texture descriptor based on local approximations

A. I. Sherstobitov, V. I. Marchuk, D. V. Timofeev, V. V. Voronin, K. O. Egiazarian, Sos S. Agaian

Proceedings Volume 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014; 91200V (2014) https://doi.org/10.1117/12.2063666
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

This paper proposes a novel texture descriptor based indices of degrees of local approximating polynomials. An input image is divided into non-overlapping patches which are reshaped into a one-dimensional source vectors. These vectors are approximated using local polynomial functions of various degrees. For each element of the source vector, these approximations are ranked according to the difference between the original and approximated values. A set of indices of polynomial degrees form a local feature. This procedure is repeated for every pixel. Finally, a proposed texture descriptor is obtained from the frequency histogram of all obtained local features. A nearest neighbor classifier utilizing distance metric is used to evaluate a performance of the introduced descriptor on the following datasets: Brodatz, KTH-TIPS, KTH-TIPS2b, UCLA and Columbia-Utrecht (CUReT) with respect to different methods of texture analysis and classification. A proper parameter setup of the proposed texture descriptor is discussed. The results of this comparison demonstrate that the proposed method is competitive with the recent statistical approaches such as local binary patterns (LBP), local ternary patterns, completed LBP, Weber’s local descriptor, and VZ algorithms (VZ-MR8 and VZ-Joint). At the same time, on KTH-TIPS2-b and KTH-TIPS datasets, the proposed method is slightly inferior to some of the state-of-the-art methods.

Citation Download Citation

A. I. Sherstobitov, V. I. Marchuk, D. V. Timofeev, V. V. Voronin, K. O. Egiazarian, and Sos S. Agaian "Texture descriptor based on local approximations", Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200V (22 May 2014); https://doi.org/10.1117/12.2063666

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image classification

Databases

Facial recognition systems

Image processing

Binary data

Chemical elements

Mathematical modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years