News Updates Monday 25th Nov 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

A Review on Various Defect Detection Techniques


Author : Priyanka Khandelwal and Pankajkumar Gautam

Pages : 2003-2005
Download PDF
Abstract

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 This manual inspection system has been replaced by automated visual inspection systems.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.

Keywords: Image Processing, Defect Detection, Gabor filter, Wavelet Transform, Otsu method

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.5(Dec- 2013)

 

 

 

Call for Papers
  1. IJCET- Current Issue
  2. Issues are published in Feb, April, June, Aug, Oct and Dec
  3. DOI is given to all articles
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved