A generation method of insulator region proposals based on edge boxes
CSTR:
Author:
Affiliation:

1. School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China

  • Article
  • | |
  • Metrics
  • |
  • Reference [21]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    High-quality insulator region proposals play important roles in the process of transmission line inspection images. A generation method of insulator region proposals based on edge boxes is proposed in this paper, and edge boxes are applied to the localization of insulators in inspection images creatively. We take a series of operations to generate insulator region proposals:K-means cluster is used on curvature scale space (CSS) points extracted from edge images, the most appropriate cluster number is chosen, and the circle is drawn on the insulator subclass. We consider the characteristics of insulators’ edge images, and combine these characteristics with edge boxes. As a result, more insulator region proposals are displayed. The experimental results show that our method can effectively reduce the interference area, meanwhile, has high quality of region proposals with fast calculation speed.

    Reference
    [1] Hu Wenping, Study on New Technology of Fault Diagnosis for Electrical Equipment Based on Intelligent Information Fusion, Huazhong University of Science and Technology, (2005). (in Chinese)
    [2] Li Li, Research on the Technology and Application of Power Line Inspection with Unmanned Aerial Vehicles, Changsha University of Science and Technology, (2012). (in Chinese)
    [3] Huili Wang, Ming Zhu, Chun-bo Lin and Dian-bing Chen, Optoelectronics Letters 13, 151 (2017).
    [4] Hosang J, Benenson R, Dollar P and Schiele B, IEEE Transactions on Pattern Analysis & Machine Intelligence 38, 814 (2016).
    [5] Hosang J, Benenson R and Schiele B, How Good are Detection Proposals, Really? Computer Science, arXiv:1406.6962, (2014).
    [6] Everingham M, Gool L V, Williams C K I, Winn J and Zisserman A, International Journal of Computer Vision 88, 303 (2010).
    [7] Deng J, Dong W, Socher R, Li L, Li Kai and Li F, ImageNet:A large-Scale Hierarchical Image Database,
    IEEE Conference on Computer Vision and Pattern Recognition, 248 (2009).
    [8] Girshick R, Donahue J, Darrell T and Malik J, Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition, 580 (2014).
    [9] Koen E A Sande, Jasper R R Uijlings, Theo Gevers and Arnold W M Smeulders, IEEE Computer Society 104, 1879 (2011).
    [10] Krizhevsky A, Sutskever I and Hinton G E, International Conference on Neural Information Processing Systems 25, 1097 (2012).
    [11] He K, Zhang X, Ren S and Sun J, IEEE Transactions on Pattern Analysis & Machine Intelligence 37, 1904 (2015).
    [12] Girshick R, Fast R-CNN, Computer Science, arXiv:1504.08083, (2015).
    [13] Ren S, He K, Girshick R and Sun J, IEEE Transactions on Pattern Analysis & Machine Intelligence 39, 1137 (2016).
    [14] Zitnick C L and Dollar P, Edge Boxes:Locating Object Proposals from Edges, European Conference on Computer Vision, 391 (2014).
    [15] Cheng M M, Zhang Z, Lin W Y and Torr P, BING:Binarized Normed Gradients for Objectness Estimation at 300fps, IEEE Conference on Computer Vision and Pattern Recognition, 3286 (2014).
    [16] Zhao Q, Liu Z and Yin B, Cracking BING and beyond, British Machine Vision Conference, (2014).
    [17] Zhu L, Chen Y, Yuille A and Freeman W, Computer Vision and Pattern Recognition 119, 1062 (2010).
    [18] Mokhtarian F and Suomela R, IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 1376 (1998).
    [19] SUN Jun-ding, GUO Qi-qiang and ZHANG Zhao-sheng, Opto-Electronic Engineering 36, 78 (2009).
    [20] Yu Lu, Yang Zhou and Hua-hua Chen, Optoelectronics Letters 12, 77 (2016).
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

ZHAO Zhen-bing, ZHANGLei, QIYin-cheng, SHIYu-ying. A generation method of insulator region proposals based on edge boxes[J]. Optoelectronics Letters,2017,13(6):466-470

Copy
Share
Article Metrics
  • Abstract:3925
  • PDF: 0
  • HTML: 0
  • Cited by: 0
History
  • Received:August 31,2017
  • Online: November 17,2017
Article QR Code