Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1630006(2021)
Wire Rope Defect-Detection Method Based on Otsu Segmentation and Edge Detection
Fig. 3. Hyperspectral images of wire rope with defects. (a) 410 nm band image; (b) 470 nm band image; (c) 566 nm band image; (d) 661 nm band image; (e) 737 nm band image; (f) 793 nm band image
Fig. 4. Spectral curves of the wire rope area with the defect and the background area. (a) Reflectivity of randomly selected ROIs; (b) two parts of ROI reflectivity after average processing
Fig. 5. Hyperspectral images and gray histograms. (a) 406 nm band image and its grayscale histogram; (b) 566 nm band image and its grayscale histogram; (c) 645 nm band image and its grayscale histogram
Fig. 6. Image threshold segmentation results at different wavelengths. (a) 406 nm band image; (b) 566 nm band image; (c) 645 nm band image
Fig. 7. Comparison of edge detection results based on different operators. (a) Roberts operator; (b) Sobel operator; (c) Prewitt operator; (d) Canny operator
Fig. 8. Hyperspectral images after Hough transform. (a) Based on Roberts operator; (b) based on Sobel operator; (c) based on Prewitt operator; (d) based on Canny operator
|
|
Get Citation
Copy Citation Text
Ruochen Dai, Mingfu Zhao, Bin Tang, Liyong Dai, Taojiang Wu, Shanghai Jiang. Wire Rope Defect-Detection Method Based on Otsu Segmentation and Edge Detection[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630006
Category: Spectroscopy
Received: Sep. 8, 2020
Accepted: Oct. 21, 2020
Published Online: Aug. 16, 2021
The Author Email: Bin Tang (tangbin@cqut.edu.cn)