Abstract
This paper proposes three robust detection algorithms for locating the cutting line in an image captured by a panel-cutting system. All of the proposed methods contain two stages: Edge detection and line fitting. In this paper, edge detection can search interest gradients depending on the intensity concentration. Meanwhile, the proposed line-fitting algorithm is able to precisely fit a line by minimizing the summation of L1 distance from each detected edge point to the fitted line. As the result, all of the proposed methods achieve accuracy of more than 85%. Going one step further, full-scale edge detection (FSED) obtains the best performance at 99.05%, which is evaluated by using a variety of real-world images.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509027439 |
DOIs | |
State | Published - 3 Jan 2017 |
Event | 2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016 - Seoul, Korea, Republic of Duration: 26 Oct 2016 → 28 Oct 2016 |
Publication series
Name | 2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016 |
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Conference
Conference | 2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 26/10/16 → 28/10/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Cutting line
- Edge detection
- Intensity concentration
- Line fitting