Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface
Tang Ruiyin () and
Liu Bo
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Tang Ruiyin: School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065099, China
Liu Bo: School of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, China
Mathematics, 2023, vol. 11, issue 2, 1-16
Abstract:
Combined with advanced fractional differential mask operation, this paper used a fractional differential to normalize the 5 × 5 mask and conducted experiments to select fractional v = 0.7 to determine the equation. The position of the center of the light band was obtained by the gray centroid method, and the center of the light band was enhanced by the fractional differential algorithm. Three samples of hard disk substrate, roller, and printed circuit board were selected. The traditional processing was compared to the fractional differential algorithm in this paper, and several advanced algorithms were compared with the algorithm in this paper. Experimental data showed that fractional differential enhancement can effectively improve the accuracy of extracting the center of light fringes. It can be found that the average error of extracting the center by fractional differential processing was relatively small, and the image outline was clearer.
Keywords: fractional differentiation; gray centroid method; highlight the background; image enhancement (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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