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Research Papers

Shape Descriptor-Based Local Contour Profile Registration and Measurement for Flexible Automotive Sealing Strips

[+] Author and Article Information
Jianhua Li

Department of Computer Science
and Engineering,
East China University of Science
and Technology,
130 Meilong Road,
Shanghai 200237, China
e-mail: jhli@ecust.edu.cn

Zhengchun Du

Mem. ASME
School of Mechanical Engineering,
Shanghai Jiao Tong University,
800 Dongchuan Road,
Shanghai 200240, China
e-mail: zcdu@sjtu.edu.cn

Yan Wang

Mem. ASME
Woodruff School of Mechanical Engineering,
Georgia Institute of Technology,
813 Ferst Drive NW,
Atlanta, GA 30332
e-mail: yan.wang@me.gatech.edu

1Corresponding author.

Manuscript received October 24, 2016; final manuscript received February 7, 2018; published online March 16, 2018. Editor: Satyandra K. Gupta.

J. Comput. Inf. Sci. Eng 18(2), 021006 (Mar 16, 2018) (10 pages) Paper No: JCISE-16-2113; doi: 10.1115/1.4039430 History: Received October 24, 2016; Revised February 07, 2018

For vision-based measurement, there are few research or professional tools for local contour positional errors of flexible automotive rubber strips. To support the automatic measurement of contour positional errors, a novel local contour registration and measurement method based on shape descriptors is proposed. In this method, a shape descriptor is proposed to find correspondence between a reference local contour and a desired local contour. First, a shape descriptor that includes the shape representation and restrictions of the local contour is extracted from the reference contour. Second, several tolerable shape descriptors for a desired actual local contour are constructed by adding some loosening factors to the ideal descriptor, and an angular similarity-based searching strategy is used to find the best actual local contour. Finally, from the matched local point sets, a quantitative calculation step provides the desired deviation values. This method is implemented in a sealing strip cross section measurement system, and numerous cross-sectional profiles are tested. The experimental results verify the stability and effectiveness of the proposed method. Important progress toward the automatic measurement of flexible products is demonstrated.

Copyright © 2018 by ASME
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Figures

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Fig. 1

Reference drawing and definition of an angular positional tolerance

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Fig. 2

Scheme of descriptor-based local contour registration and measurement algorithm

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Fig. 3

A real captured image of the cross section of a sealing strip

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Fig. 4

An example of a reduced shape of a point set

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Fig. 5

An example of a direction vector of a reduced shape of a point set

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Fig. 6

Examples of four local point sets

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Fig. 7

Examples of reduced shapes and direction vectors of four local point sets

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Fig. 8

An example of the contour length and the fluctuation of a point set

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Fig. 9

Examples of a standard local contour and a lower tolerance limited line

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Fig. 10

Examples of quantification of angular positional tolerance

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Fig. 11

Examples of the measurement of positional tolerance

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Fig. 12

The hardware of the sealing strip section system

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Fig. 13

Registration algorithm accuracy test: (a) dimensions of template (mm) and (b) registration results for template

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Fig. 14

A matched image and its reference after global matching

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Fig. 15

Three matched point sets (view of local part)

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Fig. 16

Qualification of positional tolerances: (a) definition module in the measurement software and (b) illustration of tolerance

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