Acta Optica Sinica, Volume. 37, Issue 9, 0912002(2017)
Dynamic Spectral Coding Fusion Imaging Detection Technique of Surface Defects
Fig. 2. Noise standard deviation of weight distribution image fusion with different spectral non-linear amplification noises
Fig. 3. (a) Schematic of three-primary-color receiving arrays; (b) spectral response curves
Fig. 5. 20× magnified surface damage images. (a) Red light; (b) green light; (c) blue light; (d) white light
Fig. 6. 100× magnified images of single damage point. (a) Red light; (b) green light; (c) blue light; (d) white light
Fig. 7. Traditional edge feature binarization images. (a) Red light; (b) green light; (c) blue light; (d) white light
Fig. 8. Dynamic spectral coding image fusion effects. (a) Red light; (b) green light; (c) blue light; (d) average weight; (e) optimized fusion image
Fig. 9. Comparison of surface defects imaging and image fusion. (a) Red light; (b) green light; (c) blue light; (d) optimized fusion image
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Jie Miao, Zhan Li, Zijian Cui, Dean Liu, Jianqiang Zhu. Dynamic Spectral Coding Fusion Imaging Detection Technique of Surface Defects[J]. Acta Optica Sinica, 2017, 37(9): 0912002
Category: Instrumentation, Measurement and Metrology
Received: Mar. 31, 2017
Accepted: --
Published Online: Sep. 7, 2018
The Author Email: Jianqiang Zhu (jqzhu@siom.ac.cn)