Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

Analysis of Texture of Image with Statistics Method

Authors
Jishi Guan, Xian Li, Yuguang Zhou, Hongwei Shi
Corresponding Author
Jishi Guan
Available Online March 2015.
DOI
10.2991/iiicec-15.2015.130How to use a DOI?
Keywords
Image; Texture; Cross-correlate function; Distribute function of Gradient.
Abstract

This paper use two statistics methods to analyze the texture character in image. First it proposes cross-correlation function method. Most existing texture analyze method can only analyze the texture character of the whole image or a region in the image. But cross-correlation function can indicate the texture feature of single point. Further more the changing of light in same texture does influence the function. Second it proposes that Angle Distribute Function of Gradient can be used to analyze the direction of texture in an image or region. It can show a continuous angle feature of a single texture while traditional method can only provide discrete angle feature of texture.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
10.2991/iiicec-15.2015.130
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.130How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jishi Guan
AU  - Xian Li
AU  - Yuguang Zhou
AU  - Hongwei Shi
PY  - 2015/03
DA  - 2015/03
TI  - Analysis of Texture of Image with Statistics Method
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 567
EP  - 572
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.130
DO  - 10.2991/iiicec-15.2015.130
ID  - Guan2015/03
ER  -