Laser & Optoelectronics Progress, Volume. 56, Issue 13, 131006(2019)
Surface Defect Detection of Polyvinyl Chloride Pipes Based on Machine Vision
Fig. 2. Surface defects on PVC pipes. (a) Pits; (b) bubbles; (c) impurities; (d) wrinkles; (e) scratches; (f) pollution
Fig. 4. Gamma transformation and contrast diagrams. (a) Original image; (b) area of wrinkle; (c) image after Gamma transformation
Fig. 7. Schematic of fast region growing. (a) Growing point in original matrix; (b) growing results per line; (c) final growing result
Fig. 8. Effect of block processing. (a) Point defect; (b) block projection; (c) block first-order differential
Fig. 10. Detection results of surface defect online detection platform of PVC pipes. (a) Pits; (b) impurities; (c) bubbles; (d) wrinkles; (e) scratches; (f) pollution
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Shuhua Li, Yatong Zhou, Dan Wang, Jingfei He, Zhongwei Zhang. Surface Defect Detection of Polyvinyl Chloride Pipes Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131006
Category: Image Processing
Received: Dec. 27, 2018
Accepted: Jan. 28, 2019
Published Online: Jul. 11, 2019
The Author Email: Zhou Yatong (zyt@hebut.edu.com)