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Infrared Image Line Detection Based on Improved Hough Transform |
YU Xiaolong, XIAO Yongsheng, NIE Jianghua, MAO Cong |
School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, Jiangxi, China |
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Abstract The low resolution and poor contrast of infrared image make the line detection of infrared image more difficult. Hough transform has strong anti-interference and robustness, and it is a very effective line detection method in the field of computer vision. In this paper, a method of infrared image line detection based on improved Hough transform is proposed. Experimental results show that under the conditions of low resolution and fuzzy edge, the method can detect the edge line well, and determine the endpoint and length of the edge line.
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Received: 22 December 2020
Published: 25 March 2021
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