Computer vision algorithm for measurement and inspection of O-rings

•Presents an algorithm to measure the internal/sectional diameter of O-rings.•Presents a CKFD based classification algorithm to inspect the surface defects of O-rings.•Presents a total solution for O-rings quality inspection. O-rings are one of the most common seals used in industry. Precision measu...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation Vol. 94; pp. 828 - 836
Main Authors: Peng, Gaoliang, Zhang, Zhujun, Li, Weiquan
Format: Journal Article
Language:English
Published: London Elsevier Ltd 01.12.2016
Elsevier Science Ltd
Subjects:
Algorithms
Computer vision
Edge detection
Inspection
Inspections
Least square method
Machine vision
Measurement
O ring seals
O-ring
Pattern identification
Pattern recognition systems
Quality control
Sub-pixel edge
Surface defects
Vision systems
O-ring
Least square method
Edge detection
Pattern identification
Sub-pixel edge
ISSN:0263-2241, 1873-412X
Online Access:Get full text
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Summary:•Presents an algorithm to measure the internal/sectional diameter of O-rings.•Presents a CKFD based classification algorithm to inspect the surface defects of O-rings.•Presents a total solution for O-rings quality inspection. O-rings are one of the most common seals used in industry. Precision measurement and inspection of O-rings play a vital role in seal quality control. Human inspection is a traditional way to remove defective O-rings, which is instable and time consuming. The aim of this paper is to utilize the detection algorithms based on computer vision technology to control the quality of O-rings, which includes the accurate measurement algorithm for the internal/sectional diameter and the classification algorithm for the surface defects. A machine vision system is implemented analyze the captured images of O-rings and perform the measurement and inspection processes. The proposed system is evaluated by inspecting a series of O-rings. Experimental results show that the proposed vision system is capable for measuring and inspecting O-rings seal with good accuracy and efficiency.
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ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2016.09.012