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http://dx.doi.org/10.7471/ikeee.2022.26.4.742

A Hybrid Method for Recognizing Existence of Power Lines in Infrared Images  

Jonghee, Kim (ETRI)
Chanho, Jung (Dept. of Electrical Engineering, Hanbat National University)
Publication Information
Journal of IKEEE / v.26, no.4, 2022 , pp. 742-745 More about this Journal
Abstract
In this paper, we propose a hybrid image processing and deep learning-based method for detecting the presence of power lines in infrared images. Deep learning-based methods can learn feature vectors from a large number of data without much effort, resulting in outstanding performances in various fields. However, it is difficult to apply human intuition to the deep learning-based methods while image processing techniques can be used to apply human intuition. Based on these, we propose a method that exploits both advantages to detect the existence of power lines in infrared images. To this end, five methods have been applied and compared to find the most effective image processing technique for detecting the presence of power lines. As a result, the proposed method achieves 99.48% of accuracy which is higher than those of methods based on either image processing or deep learning.
Keywords
infrared image; power line existence recognition; a hybrid image processing and deep learning-based method; image processing; deep learning;
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