Work

An Algorithm For Detecting Seam Cracks In Steel Plates

Year: 2012

Type: article

Abstract: In this study, we developed an algorithm for detecting seam cracks in a steel plate. Seam cracks are generated in the edge region of a steel plate. We used the Gabor filter and an adaptive double threshold method to detect them. To reduce the number of pseudo defects, features based on the shape of seam cracks were used. To evaluate the performance of the proposed algorithm, we tested 989 images with seam cracks and 9470 defect-free images. Experimental results show that the proposed algorithm is suitable for detecting seam cracks. However, it should be improved to increase the true positive rate.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.1084877

Authors: Doo-Chul Choi, Jeon, Yong-Ju, Yun, Jong Pil, Yun, Sung Wook, Kim, Sang Woo

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W1569967531

FWCI: 1.917

Cites: 2

Cited by: 6

Related to: 10