A Survey on Various Defect Detection
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2014 by IJETT Journal|
|Year of Publication : 2014|
|Authors : Rashmi Mishra , Ms. Dolly Shukla
Rashmi Mishra , Ms. Dolly Shukla. "A Survey on Various Defect Detection", International Journal of Engineering Trends and Technology (IJETT), V10(13),642-648 April 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Ceramic tiles having great demands in the field of infrastructure and building development because of its affordable cost, easy installation, maintenance, moisture resistant property and comes in a wide variety of colors, textures, and sizes so it’s a good option for many environments. However this required large volume production which is performed by automated plants which generates thousands of tiles per segments. Visual inspection is an important part of quality control in industry. In decades ago, this job has been heavily relied upon manual inspection by human inspectors. Defect detection using manual inspection of an object is not a reliable approach because of fatigue and inattentiveness of an inspector. This manual inspection system has been replaced by automated visual inspection systems. Defect detection is a technique which is used in automated visual inspection system for quality control of the product. In this paper, we are going to review various defect detection methods to detecting the defects from different types of images which are used in automated visual Inspection System and also compare all these methods.
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Automated Defect Detection, Artificial Neural Network, Automatic Visual Inspection, Gabor Filter, Wavelet Transform.