A Method of Insulator Detection from Video Sequence

By Bingfeng Li, Denglu Wu, Yang Cong, Yong Xia, Yandong Tang. 2012 Fourth International Symposium on Information Science and Engineering, 2012

50 citations recorded by the source corpus.

We present a very efficient approach for insulators detection. Unlike previous texture-based approach, we directly search insulators location in the images by using Profile projection. For overcoming the negative effect of image noise on object detection, we preprocess insulators image by thresholding method. To make insulators detection more effective and efficient, we design a tilt correction method based on principal component analysis. The correction enables our method to derive accurate feature extraction curve from insulators image, then we extract five features from the feature curve, which are related to the number of binary sequence and the normalized variance of the binary sequence length. After obtaining the insulators feature from an image, we apply SVM to identify insulators with the five features. Some experiments on video frame images show that our approach significantly outperforms the state-of-the-art in term of both accuracy and efficiency.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/f026e951412e10c11c0c2e544e60742af27046c4

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In Computer Vision and Pattern Recognition

1. Xian Tao
2. Xilong Liu
3. Hongyan Zhang
4. Dapeng Zhang
5. Zihao Wang
6. De Xu

Citations in the corpus

• Remote sensing methods for power line corridor surveys (2016, methodology): “, 2009; Li et al., 2012b). Applied data sources range from coarse satellite images to detailed photographs of the power line components. EPRI (2008) presented scenarios and technologies for future inspection of overhead transmission lines.”
• Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks (2020, methodology): “Li et al. [9] used the Otsu thresholding algorithm to detect insulators, but their approach is only capable of detecting insulators via a strong contrast, limiting its applicability considerably.”