Material surface analysis for robot labeling

Author

Bin Adam, Hairizan ; Bin Hassan, Mohd Fauzi ; Bin Gimin, Muhamad Jais ; Bin Abdullah, Azizi

Author_Institution

Mech. Eng. Dept., Johor Bahru Polytech., Pasir Gudang, Malaysia

Volume

1

fYear

2011

fDate

28-29 June 2011

Firstpage

136

Lastpage

138

Abstract

This paper examines the texture properties of different materials in labelling robots. Experimental approach is used to obtain results on a set of different material surfaces. In this work, three types of materials were used to verify their texture properties namely paper, Jelutong (wood) and cotton. After that, Tamura texture algorithm is proposed to measure the texture features on these selected materials. Our experiments show that contrast feature plays important role in identifying robot efficiently.

Keywords

image texture; mobile robots; robot vision; sport; Tamura texture algorithm; contrast feature; cotton material; material surface analysis; material texture property; paper material; robot identification; robot labeling; robot soccer game; wood material; Cameras; Games; Image color analysis; Materials; Robots; Scanning electron microscopy; Surface roughness; material surface; robot patch; robot recognition; texture features;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Analysis and Intelligent Robotics (ICPAIR), 2011 International Conference on

Conference_Location

Putrajaya

Print_ISBN

978-1-61284-407-7

Type

conf

DOI

10.1109/ICPAIR.2011.5976883

Filename

5976883