Local radius index - A new texture similarity feature

Yuanhao Zhai; David L. Neuhoff; Thrasyvoulos N. Pappas

doi:10.1109/ICASSP.2013.6637888

Local radius index - A new texture similarity feature

Yuanhao Zhai, David L. Neuhoff, Thrasyvoulos N. Pappas

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

We develop a new type of statistical texture image feature, called a Local Radius Index (LRI), which can be used to quantify texture similarity based on human perception. Image similarity metrics based on LRI can be applied to image compression, identical texture retrieval and other related applications. LRI extracts texture features by using simple pixel value comparisons in space domain. Better performance can be achieved when LRI is combined with complementary texture features, e.g., Local Binary Patterns (LBP) and the proposed Subband Contrast Distribution. Compared with Structural Texture Similarity Metrics (STSIM), the LRI-based metrics achieve better retrieval performance with much less computation. Applied to the recently developed structurally lossless image coder, Matched Texture Coding, LRI enables similar performance while significantly accelerating the encoding.

Original language	English (US)
Title of host publication	2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages	1434-1438
Number of pages	5
DOIs	https://doi.org/10.1109/ICASSP.2013.6637888
State	Published - Oct 18 2013
Event	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: May 26 2013 → May 31 2013

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country	Canada
City	Vancouver, BC
Period	5/26/13 → 5/31/13

Keywords

image coding
retrieval
texture similarity

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2013.6637888

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Zhai, Y., Neuhoff, D. L., & Pappas, T. N. (2013). Local radius index - A new texture similarity feature. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 1434-1438). [6637888] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2013.6637888

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author = "Yuanhao Zhai and Neuhoff, {David L.} and Pappas, {Thrasyvoulos N.}",

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note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",

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Zhai, Y, Neuhoff, DL & Pappas, TN 2013, Local radius index - A new texture similarity feature. in 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings., 6637888, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 1434-1438, 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, 5/26/13. https://doi.org/10.1109/ICASSP.2013.6637888

Local radius index - A new texture similarity feature. / Zhai, Yuanhao; Neuhoff, David L.; Pappas, Thrasyvoulos N.

2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 1434-1438 6637888 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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