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A New Research on Identify Defects in Stainless Steel Plate Using Image Processing
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1032.10812s219
Subject(s) - matlab , production (economics) , process (computing) , image processing , quality (philosophy) , computer science , artificial intelligence , quality management , reliability engineering , image (mathematics) , computer vision , engineering drawing , engineering , operations management , management system , philosophy , epistemology , economics , macroeconomics , operating system
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.

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