期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：11
页码：4073-4075
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Automation plays vital role in any mass production manufacturing industries. Accepting or rejecting final component before delivery to customer depends on its accuracy of required dimensions and other features. To assure quality; such as dimensions and features of final manufactured product checked manually in almost all manufacturing industries. Manual inspection is costly, time consuming, some times inaccurate and manual inspection for complicated shapes is very difficult so also the method is destructive in some cases. Again human judgment is influenced by prior knowledge. To overcome these problems quality control management for sensitive industrial product is possible using image processing technique. In this paper literature survey has been carried out to study application of image processing for quality control management. Different techniques used for feature extraction of industrial product are summarized here. Use of image processing to inspect complicated industrial product will increase speed of inspection as well as give assurance of product quality by reducing manual errors.
关键词：Image processing; Feature extraction; Quality control ; management
