DSPI Filtering Evaluation Method Based on Sobel Operator and Image Entropy
Evaluating the filtering process of the digital speckle pattern interferometry (DSPI) of a single image by the traditional methods can result in under- or over-filtering. To solve this problem, this paper proposes an image-filtering evaluation method based on the Sobel operator and image entropy. Fi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9565352/ |
| _version_ | 1818681979418181632 |
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| author | Runkai Zhang Qiyang Xiao Ying Du Xianyu Zuo |
| author_facet | Runkai Zhang Qiyang Xiao Ying Du Xianyu Zuo |
| author_sort | Runkai Zhang |
| collection | DOAJ |
| description | Evaluating the filtering process of the digital speckle pattern interferometry (DSPI) of a single image by the traditional methods can result in under- or over-filtering. To solve this problem, this paper proposes an image-filtering evaluation method based on the Sobel operator and image entropy. First, the Sobel operator is introduced to convolute a filtered image to obtain a gradient image of a DSPI. Then, by analyzing the gradient image, image entropy is calculated according to the characteristics of the gradient map. Finally, the proposed method is verified by experiments. The experimental results show that the proposed method can quantitatively evaluate the filtering process of the DSPI. |
| first_indexed | 2024-12-17T10:11:33Z |
| format | Article |
| id | doaj.art-68dabf38962f4fee9840b45ae3664fe0 |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-12-17T10:11:33Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-68dabf38962f4fee9840b45ae3664fe02022-12-21T21:53:00ZengIEEEIEEE Photonics Journal1943-06552021-01-0113611010.1109/JPHOT.2021.31189249565352DSPI Filtering Evaluation Method Based on Sobel Operator and Image EntropyRunkai Zhang0https://orcid.org/0000-0002-4508-6894Qiyang Xiao1Ying Du2Xianyu Zuo3Miami College of Henan University, Henan University, Kaifeng, ChinaSchool of Artificial Intelligence, Henan University, Kaifeng, ChinaSchool of Computer and Information Engineering, Henan Key Laboratory of Big Data Analysis and Processing, Kaifeng, ChinaSchool of Computer and Information Engineering, Henan Key Laboratory of Big Data Analysis and Processing, Kaifeng, ChinaEvaluating the filtering process of the digital speckle pattern interferometry (DSPI) of a single image by the traditional methods can result in under- or over-filtering. To solve this problem, this paper proposes an image-filtering evaluation method based on the Sobel operator and image entropy. First, the Sobel operator is introduced to convolute a filtered image to obtain a gradient image of a DSPI. Then, by analyzing the gradient image, image entropy is calculated according to the characteristics of the gradient map. Finally, the proposed method is verified by experiments. The experimental results show that the proposed method can quantitatively evaluate the filtering process of the DSPI.https://ieeexplore.ieee.org/document/9565352/Digital speckle pattern interferometrycontinuous filtering processimage entropysobel operator |
| spellingShingle | Runkai Zhang Qiyang Xiao Ying Du Xianyu Zuo DSPI Filtering Evaluation Method Based on Sobel Operator and Image Entropy IEEE Photonics Journal Digital speckle pattern interferometry continuous filtering process image entropy sobel operator |
| title | DSPI Filtering Evaluation Method Based on Sobel Operator and Image Entropy |
| title_full | DSPI Filtering Evaluation Method Based on Sobel Operator and Image Entropy |
| title_fullStr | DSPI Filtering Evaluation Method Based on Sobel Operator and Image Entropy |
| title_full_unstemmed | DSPI Filtering Evaluation Method Based on Sobel Operator and Image Entropy |
| title_short | DSPI Filtering Evaluation Method Based on Sobel Operator and Image Entropy |
| title_sort | dspi filtering evaluation method based on sobel operator and image entropy |
| topic | Digital speckle pattern interferometry continuous filtering process image entropy sobel operator |
| url | https://ieeexplore.ieee.org/document/9565352/ |
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