Image Classification of Substation Equipment Based on BOF Image Retrieval Algorithm

Qingsheng Zhao; Yuying Wang; Dingkang Liang; Zun Guo

doi:10.3788/LOP57.181011

Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181011(2020)

Image Classification of Substation Equipment Based on BOF Image Retrieval Algorithm

Qingsheng Zhao^1、*, Yuying Wang¹, Dingkang Liang¹, and Zun Guo²

¹Shanxi Key Laboratory of Power System Operation and Control, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 0 30024, China

²School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

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Figures & Tables(9)

Fig. 1. Flow chart of our algorithm

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Fig. 2. Feature point extraction of SURF algorithm. (a) Isolation switch; (b) cable port

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Fig. 3. Infrared image and corresponding BOF feature image. (a) Transformer contact; (b) current transformer; (c) cable port; (d) isolation switch

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Fig. 4. Classification results of different KNN models. (a) Fine KNN; (b) Medium KNN; (c) Coarse KNN; (d) Cosine KNN; (e) Cubic KNN; (f) Weighted KNN

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Fig. 5. Classification results of images in the test set. (a) Correct; (b) wrong

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Table 1. Extraction efficiency of SIFT and SURF algorithms
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Table 1. Extraction efficiency of SIFT and SURF algorithms
Algorithm Feature point Running time /s
SIFT 12364 1.8
SURF 7259 1.2

Table 2. Classifier parameters

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Table 2. Classifier parameters

Classifier	Prediction speed	Classification model setting
Classifier	Prediction speed	Distance standard	Number of neighboring samples
Fine KNN	medium	Euclidean distance	1
Medium KNN	medium	Euclidean distance	10
Coarse KNN	medium	Euclidean distance	100
Cosine KNN	medium	cosine distance	10
Cubic KNN	slow	cubic distance	10
Weighted KNN	medium	distance weight	10

Table 3. Classification accuracy of different imagesunit: %

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Table 3. Classification accuracy of different imagesunit: %

Classifier	Classification accuracy
Classifier	1	2	3	4
Fine KNN	94.18	91.18	92.12	90.12
Medium KNN	94.11	91.12	92.12	90.55
Coarse KNN	25.00	25.00	33.33	33.33
Cosine KNN	95.59	93.94	92.47	90.71
Cubic KNN	92.65	90.12	89.94	88.12
Weighted KNN	91.18	89.55	91.18	89.29

Table 4. Classification time of different imagesunit: s
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Table 4. Classification time of different imagesunit: s
Classifier Classification time
1 2 3 4
Fine KNN 8.19 8.04 10.21 9.98
Medium KNN 8.24 8.09 10.04 9.91
Coarse KNN 9.26 9.09 10.67 10.55
Cosine KNN 7.71 7.67 9.21 9.11
Cubic KNN 10.36 10.18 11.52 11.39
Weighted KNN 6.04 5.95 9.86 9.71

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Qingsheng Zhao, Yuying Wang, Dingkang Liang, Zun Guo. Image Classification of Substation Equipment Based on BOF Image Retrieval Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181011

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