Design of a Measurement System for Surface Roughness using Speckle Images

Authors

  • J. Darani Priya Department of Mechanical engineering, B. S. Abdur Rahman University
  • J. Mahashar Ali Department of Mechanical engineering, B. S. Abdur Rahman University

Keywords:

Surface roughness, Image processing, Electrical Discharge Machining (EDM), Euclidean distance, Hamming distanc

Abstract

The advances in fibre optics and the dawn of high speed wide-ranging computers and prevailing vision systems
has made image analysis easy, fast and flexible. The illumination of the laser on the specimen prepared through the
Electrical Discharge Machining process is captured using an online measurement system constructed with CCD camera
and He-Ne laser. The images captured shows a speckle pattern which is further analysed to quantify the surface texture
and is processed with the aid of advanced algorithms to have a comparative study with the results obtained from the
stylus instrument. The online vision system has a lead over the stylus, having good penetration capacity and is noncontact. The novel methods employed in biometrics, Hamming distance and Euclid ean distance is used as metrics for the
image recognition process. A database is generated and the recognition process is analysed using MATLAB software.

Published

2015-04-25

How to Cite

J. Darani Priya, & J. Mahashar Ali. (2015). Design of a Measurement System for Surface Roughness using Speckle Images. International Journal of Advance Engineering and Research Development (IJAERD), 2(4), 300–305. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/634