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Title: Edge detection algorithm of insulator hydrophobic image in CPS system considering deconvolution and deblurring algorithm

Authors: Junchao Wei

Addresses: Department of Basic Courses, Xi'an Traffic Engineering Institute, Xi'an, Shaanxi, 710300, China

Abstract: Through experiments, this paper verifies the practicability and effectiveness of the deconvolution deblurring algorithm. Through fuzzy kernel estimation and sharp edge recovery, we have effectively improved the defects of traditional edge detection algorithms, which also solve the clear hydrophobic image under CPS. The experimental data show that, compared with the traditional edge detection algorithm, the comprehensive PSNR value of the edge detection algorithm of insulator hydrophobic image based on deconvolution and deblurring algorithm in CPS environment is 27.02, and the improvement range is about 0.3 dB to 1.9 dB. In terms of operation time, the average operation time of this algorithm is reduced by about two-thirds. Therefore, the following conclusions are drawn in this paper. The edge detection accuracy of insulator hydrophobic image considering deconvolution deblurring algorithm is very high, and the convergence performance is also very good.

Keywords: image edge detection algorithm; deconvolution deblurring algorithm; insulator water repellency; image processing; CPS.

DOI: 10.1504/IJICT.2024.142167

International Journal of Information and Communication Technology, 2024 Vol.25 No.7, pp.1 - 15

Received: 28 Jun 2024
Accepted: 08 Sep 2024
Published online: 10 Oct 2024 *