Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches

Jong Pil Yun; Sang Jun Lee; Gyogwon Koo; Crino Shin; ChangHyun Park

doi:10.1117/1.OE.58.2.023107

14 February 2019 Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches

Jong Pil Yun, Sang Jun Lee, Gyogwon Koo, Crino Shin, ChangHyun Park

Author Affiliations +

Optical Engineering, Vol. 58, Issue 2, 023107 (February 2019). https://doi.org/10.1117/1.OE.58.2.023107

Abstract

A technology to stabilize the process by inspecting fine cracks in advance before mass and fatal defects occur is important. We propose a vision inspection system for the edge cracks of cold-rolled steel strips. It is important to detect the edge cracks of cold-rolled steel sheets early because they can result in plate breakage. There are two major components to achieve a suitable defect inspection system. The first is an optical system design technique that generates an image that can easily distinguish a defect area from a nondefect area. The second is an automatic detection algorithm technique that can accurately detect the position and shape of a defect in an image generated from an optical system. The optical part is designed using a backlight technique, which places the camera on the top of the strip and irradiates light from the bottom to the top. The defect detection algorithm detects the defects based on morphological operations. It is important to design the structuring elements that determine the performance of the detection algorithm. We optimized the structuring elements using the exhaustive dynamic encoding algorithm for searches. Experiments were conducted on the obtained images by installing the proposed system in actual production lines. The experimental results show the effectiveness of the proposed system.

Citation Download Citation

Jong Pil Yun, Sang Jun Lee, Gyogwon Koo, Crino Shin, and ChangHyun Park "Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches," Optical Engineering 58(2), 023107 (14 February 2019). https://doi.org/10.1117/1.OE.58.2.023107

Received: 19 October 2018; Accepted: 24 January 2019; Published: 14 February 2019

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Defect detection

Detection and tracking algorithms

Defect inspection

Binary data

Computer programming

Inspection

Edge detection

Show All Keywords

Keywords/Phrases

Search In:

Publication Years