Visible Light Image Segmentation Algorithm of Pantograph-Catenary Arcing

Fig. 2. Processing results of different algorithms. (a) Original image; (b) grayscale image; (c) uniformity measurement algorithm; (d) algorithm of Ref. [12]; (e) ours

Download full size

Fig. 3. Denoising results of different algorithms. (a) Gray scale image; (b) Gaussian filtering algorithm; (c) algorithm of Ref.[13]; (d) ours

Download full size

Table 1. Image processing results of night scene
View table
Table 1. Image processing results of night scene
Parameter Uniformitymeasurement Ref. [12] Ours
Precision /% 60.73 71.08 97.88
Recall /% 98.95 97.56 99.86
RMSE /% 8.61 6.84 1.58
SA /% 78.54 89.67 97.70
Time /s 3.6043 5.7321 6.1724

Table 2. Image processing results of strong light scene
View table
Table 2. Image processing results of strong light scene
Parameter Uniformitymeasurement Ref. [12] Ours
Precision/% 51.57 55.13 98.31
Recall /% 97.55 95.25 98.56
RMSE /% 19.71 9.38 01.98
SA /% 68.54 88.58 95.88
Time /s 3.5699 5.6321 6.0365

Table 3. Image processing results of cloudy scene
View table
Table 3. Image processing results of cloudy scene
Parameter Uniformitymeasurement Ref. [12] Ours
Precision /% 58.24 58.20 97.51
Recall /% 96.53 95.73 98.78
RMSE /% 9.43 4.61 1.19
SA /% 56.28 85.64 96.41
Time /s 3.5658 5.6783 6.2192

Table 4. Denoising effects of different algorithms
View table
Table 4. Denoising effects of different algorithms
Algorithm PSNR
Night Strong light Cloudy
Gaussian 31.8924 30.0094 25.6866
Ref. [13] 39.2131 38.3902 36.2322
Ours 58.4111 49.3050 48.5443

Tools

Get Citation

Copy Citation Text

Zhen Tong, Guimei Gu, Xiaoning Yu. Visible Light Image Segmentation Algorithm of Pantograph-Catenary Arcing[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161018

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites