A New Research on Identify Defects in Stainless Steel Plate Using Image Processing
V. Elanangai1, K. Vasanth2

1V. Elanangai, Research Scholar, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.

2Dr. K. Vasanth, Professor, Department of ECE, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.

Manuscript received on 07 December 2019 | Revised Manuscript received on 21 December 2019 | Manuscript Published on 31 December 2019 | PP: 182-190 | Volume-8 Issue-12S2 October 2019 | Retrieval Number: L103210812S219/2019©BEIESP | DOI: 10.35940/ijitee.L1032.10812S219

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Quality management is very challenging in the production of steel plates. Identifying the defects in surface of steel plates is highly challenging and plays a vital role in high percentage and in quality control process also. In most of the production fields, only manual way of checking the defects is done. Due to which the following constraints are faced. Less efficiency, increase in production cost etc.. In industries, an automated technique which provides better detection, recognition and classification as well is used. Image processing identifies the defect and classifies using MATLAB.

Keywords: Defect Detection, Classification, Recognition, MATLAB.
Scope of the Article: Image Analysis and Processing