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Texture analysis of terrain images: exploiting directional properties of a local-feature statistics operator using small masks

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

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Texture analysis of terrain images: exploiting directional properties of a local-feature statistics operator using small masks. / Telfer, Duncan J.; Wilson, Lionel.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Richard Juday; Stephen K. Park. 1996. p. 148-158 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2753).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Telfer, DJ & Wilson, L 1996, Texture analysis of terrain images: exploiting directional properties of a local-feature statistics operator using small masks. in R Juday & SK Park (eds), Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 2753, pp. 148-158, Visual Information Processing V, Orlando, FL, USA, 9/04/96.

APA

Telfer, D. J., & Wilson, L. (1996). Texture analysis of terrain images: exploiting directional properties of a local-feature statistics operator using small masks. In R. Juday, & S. K. Park (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 148-158). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2753).

Vancouver

Telfer DJ, Wilson L. Texture analysis of terrain images: exploiting directional properties of a local-feature statistics operator using small masks. In Juday R, Park SK, editors, Proceedings of SPIE - The International Society for Optical Engineering. 1996. p. 148-158. (Proceedings of SPIE - The International Society for Optical Engineering).

Author

Telfer, Duncan J. ; Wilson, Lionel. / Texture analysis of terrain images : exploiting directional properties of a local-feature statistics operator using small masks. Proceedings of SPIE - The International Society for Optical Engineering. editor / Richard Juday ; Stephen K. Park. 1996. pp. 148-158 (Proceedings of SPIE - The International Society for Optical Engineering).

Bibtex

@inproceedings{4a98e697a6a24d079ef8ef6e639c5f95,
title = "Texture analysis of terrain images: exploiting directional properties of a local-feature statistics operator using small masks",
abstract = "The texture discrimination properties of a directional operator, using a window based histogram correlation technique, are described for test images and natural scene imagery. The natural image examples are drawn from digitized monochrome aerial photographs of volcanic terrain, and of coastal dune fields in the region of West Lancashire, England. The operator masks use directionally encoded local difference parameters and are of two sizes, 3 by 3 and 2 by 2 pixels, scanning over a window size of 25 by 25 pixels to create an autocorrelation map, normalized to the output gray-scale range. Comparisons of the outputs are discussed in terms of ability to detect specific types of texture feature associated with known lava flow regimes demonstrate the viability of the technique down to single pixel resolution, particularly for folded or striated topography. The vegetation cover of the volcanic terrain is also characterized in terms of its response to these texture operators. The output from the dune field images, which contain a wider variety of vegetation cover, also demonstrates the discrimination capability of the technique and its potential usefulness in environmental and conservation management.",
author = "Telfer, {Duncan J.} and Lionel Wilson",
year = "1996",
month = apr,
day = "9",
language = "English",
isbn = "0819421340",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
pages = "148--158",
editor = "Richard Juday and Park, {Stephen K.}",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Visual Information Processing V ; Conference date: 09-04-1996 Through 09-04-1996",

}

RIS

TY - GEN

T1 - Texture analysis of terrain images

T2 - Visual Information Processing V

AU - Telfer, Duncan J.

AU - Wilson, Lionel

PY - 1996/4/9

Y1 - 1996/4/9

N2 - The texture discrimination properties of a directional operator, using a window based histogram correlation technique, are described for test images and natural scene imagery. The natural image examples are drawn from digitized monochrome aerial photographs of volcanic terrain, and of coastal dune fields in the region of West Lancashire, England. The operator masks use directionally encoded local difference parameters and are of two sizes, 3 by 3 and 2 by 2 pixels, scanning over a window size of 25 by 25 pixels to create an autocorrelation map, normalized to the output gray-scale range. Comparisons of the outputs are discussed in terms of ability to detect specific types of texture feature associated with known lava flow regimes demonstrate the viability of the technique down to single pixel resolution, particularly for folded or striated topography. The vegetation cover of the volcanic terrain is also characterized in terms of its response to these texture operators. The output from the dune field images, which contain a wider variety of vegetation cover, also demonstrates the discrimination capability of the technique and its potential usefulness in environmental and conservation management.

AB - The texture discrimination properties of a directional operator, using a window based histogram correlation technique, are described for test images and natural scene imagery. The natural image examples are drawn from digitized monochrome aerial photographs of volcanic terrain, and of coastal dune fields in the region of West Lancashire, England. The operator masks use directionally encoded local difference parameters and are of two sizes, 3 by 3 and 2 by 2 pixels, scanning over a window size of 25 by 25 pixels to create an autocorrelation map, normalized to the output gray-scale range. Comparisons of the outputs are discussed in terms of ability to detect specific types of texture feature associated with known lava flow regimes demonstrate the viability of the technique down to single pixel resolution, particularly for folded or striated topography. The vegetation cover of the volcanic terrain is also characterized in terms of its response to these texture operators. The output from the dune field images, which contain a wider variety of vegetation cover, also demonstrates the discrimination capability of the technique and its potential usefulness in environmental and conservation management.

UR - http://www.scopus.com/inward/record.url?scp=0029727279&partnerID=8YFLogxK

M3 - Conference contribution/Paper

AN - SCOPUS:0029727279

SN - 0819421340

SN - 9780819421340

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 148

EP - 158

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Juday, Richard

A2 - Park, Stephen K.

Y2 - 9 April 1996 through 9 April 1996

ER -