文章基本信息

标题：Identification of Defects in Plastic Gears Using Image Processing and Computer Vision : A Review
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作者：Preeti Saini ; Mr. Rohit Anand
期刊名称：International Journal of Engineering Research
印刷版ISSN：2319-6890
出版年度：2014
卷号：3
期号：2
页码：94-99
出版社：IJER
摘要：In this research paper, we have explored the algorithms/techniques that help in the detection of types of defects (Flash, Warping, Bubbles, Unfilled sections, Sink marks and Ejector marks) that may occur during the manufacturing process of plastic gears. Due to the inherent properties (moisture, absorption, temperature, pressure etc.) of the material (acetal resins such as DELRIN, Duracon M90; nylon resins such as ZYTEL, NYLATRON, MC901 and acetal copolymers such as CELCON.) used in manufacturing of plastic gea rs, and based on the analysis of previous methods we have draw n so me conclusive facts, from which we have proposed image processing andco mputer vision technique which can be implemented for better results in terms of accuracy of such detects.
关键词：defect detection; computer vision; image ; processing.