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Reseach Article

Composite Material Surface Analysis based Image Texture Analysis

by Abdul Adeem Zaily Hameed, Faik Hammad Anter, Muzhir Shaban Al-Ani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 1
Year of Publication: 2015
Authors: Abdul Adeem Zaily Hameed, Faik Hammad Anter, Muzhir Shaban Al-Ani
10.5120/ijca2015906810

Abdul Adeem Zaily Hameed, Faik Hammad Anter, Muzhir Shaban Al-Ani . Composite Material Surface Analysis based Image Texture Analysis. International Journal of Computer Applications. 129, 1 ( November 2015), 22-26. DOI=10.5120/ijca2015906810

@article{ 10.5120/ijca2015906810,
author = { Abdul Adeem Zaily Hameed, Faik Hammad Anter, Muzhir Shaban Al-Ani },
title = { Composite Material Surface Analysis based Image Texture Analysis },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 1 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number1/23037-2015906810/ },
doi = { 10.5120/ijca2015906810 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:22:14.079231+05:30
%A Abdul Adeem Zaily Hameed
%A Faik Hammad Anter
%A Muzhir Shaban Al-Ani
%T Composite Material Surface Analysis based Image Texture Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 1
%P 22-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a days surface analysis have many application in various knowledge fields and one of the important field is material surface analysis. This approach is concentrated on the image enhancement to arise and detect small obstacles during the surface. This approach allows individual features and details of the specimen to become visible In addition many statistical measures are applied to evaluate this performance of this approach. In the obtained measures, the signal-to-noise ratio must be large enough to be interpreted in terms of the formation of a coherent image.

References
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  13. AUTHORS PROFOLE
  14. Muzhir Shaban Al-Ani has received Ph. D. in Computer & Communication Engineering Technology, ETSII, Valladolid University, Spain, 1994. Assistant of Dean at Al-Anbar Technical Institute (1985). Head of Electrical Department at Al-Anbar Technical Institute, Iraq (1985-1988), Head of Computer and Software Engineering Department at Al-Mustansyria University, Iraq (1997-2001), Dean of Computer Science (CS) & Information System (IS) faculty at University of Technology, Iraq (2001-2003). He jo
  15. Abdul Adeem Zaily Hameed obtained his M.Sc. in Physics Science from University of Anbar. He is currently instructor of Computer Science in College of Computer ,University of Anbar,IRAQ. His research interests are, Image Processing , Pattern Recognition , Quantum Physics and Statics.
Index Terms

Computer Science
Information Sciences

Keywords

Image Analysis Surface Analysis Intensity Analysis Optical Analysis and Statistical Measures.