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author:

Huang, C. (Huang, C..) [1] | Chen, D. (Chen, D..) [2] | Tang, X. (Tang, X..) [3]

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Scopus

Abstract:

A method of workpiece recognition and location by Hu moment invariants based on Open Source Computer Vision(Opencv) is presented in this paper. Firstly, the methods of image preprocessing including image graying, mean filter, image binaryzation by adaptive threshold segmentation are used. Then, we extract the contours from the binary image. Finally, we can identify the object workpiece by matching the extracted contours with the object contour from the template image by Hu moment invariants. At the same time, the method of confirming the workpiece position and direction is put forward. Experimental results show that the proposed method can recognize the target workpiece and locate the position effectively. The used algorithms are simple and fast in operation. © 2015 IEEE.

Keyword:

Hu moment invariants; Opencv; recognition and location

Community:

  • [ 1 ] [Huang, C.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Chen, D.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Tang, X.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China

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Source :

Proceedings - 2015 8th International Symposium on Computational Intelligence and Design, ISCID 2015

Year: 2016

Volume: 2

Page: 228-232

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 23

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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