Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface
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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/11/2/444 |
| _version_ | 1797439027299745792 |
|---|---|
| author | Tang Ruiyin Liu Bo |
| author_facet | Tang Ruiyin Liu Bo |
| author_sort | Tang Ruiyin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T11:45:54Z |
| format | Article |
| id | doaj.art-d20053e8673249d29a89834590641cf7 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T11:45:54Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-d20053e8673249d29a89834590641cf72023-11-30T23:22:19ZengMDPI AGMathematics2227-73902023-01-0111244410.3390/math11020444Application of Fractional Differential Model in Image Enhancement of Strong Reflection SurfaceTang Ruiyin0Liu Bo1School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065099, ChinaSchool of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, ChinaCombined 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.https://www.mdpi.com/2227-7390/11/2/444fractional differentiationgray centroid methodhighlight the backgroundimage enhancement |
| spellingShingle | Tang Ruiyin Liu Bo Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface Mathematics fractional differentiation gray centroid method highlight the background image enhancement |
| title | Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface |
| title_full | Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface |
| title_fullStr | Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface |
| title_full_unstemmed | Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface |
| title_short | Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface |
| title_sort | application of fractional differential model in image enhancement of strong reflection surface |
| topic | fractional differentiation gray centroid method highlight the background image enhancement |
| url | https://www.mdpi.com/2227-7390/11/2/444 |
| work_keys_str_mv | AT tangruiyin applicationoffractionaldifferentialmodelinimageenhancementofstrongreflectionsurface AT liubo applicationoffractionaldifferentialmodelinimageenhancementofstrongreflectionsurface |