New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory
A new river flow measurement method based on graphic process has been proposed recently, which gets the velocity in optical imaging modality through measuring the continuous displacement of floating debris, then reconstructs a two-dimensional river surface velocity field by using the velocity of flo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/389487 |
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| _version_ | 1849690457270910976 |
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| author | Lili Zhang Tanghuai Fan Xin Wang Cheng Kong Xijun Yan |
| author_facet | Lili Zhang Tanghuai Fan Xin Wang Cheng Kong Xijun Yan |
| author_sort | Lili Zhang |
| collection | DOAJ |
| description | A new river flow measurement method based on graphic process has been proposed recently, which gets the velocity in optical imaging modality through measuring the continuous displacement of floating debris, then reconstructs a two-dimensional river surface velocity field by using the velocity of floating debris, and computes the section flow at last. However, the surface optical images have not only lights of target information, but also surface optical noise. It is difficult for reliable and stable continuous displacement detection of complex small observation target, which occupies only a small number of pixels comparing to a large field imaging area and has complex optical reflection properties. To solve this problem, this paper presents a background suppression method based on soft morphology and Retinex theory. Soft morphology is firstly used for the opening operation of the image, and then Retinex theory is used for optimal estimation of image incident component to suppress background of image. Finally, the simulations show that our method is superior to gray morphology and soft morphology on the performance of targets enhancement, noise filtering, and background suppression, and it has better background and targets discrimination quality subjective evaluation and higher signal-to-clutter ratio. |
| format | Article |
| id | doaj-art-ebdd3c0a61594b3d82bf124288fab009 |
| institution | DOAJ |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-ebdd3c0a61594b3d82bf124288fab0092025-08-20T03:21:18ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/389487389487New Method of Image Background Suppression Based on Soft Morphology and Retinex TheoryLili Zhang0Tanghuai Fan1Xin Wang2Cheng Kong3Xijun Yan4College of Computer and Information Engineering, Hohai University, Nanjing, Jiangsu 211100, ChinaSchool of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, ChinaCollege of Computer and Information Engineering, Hohai University, Nanjing, Jiangsu 211100, ChinaCollege of Computer and Information Engineering, Hohai University, Nanjing, Jiangsu 211100, ChinaCollege of Computer and Information Engineering, Hohai University, Nanjing, Jiangsu 211100, ChinaA new river flow measurement method based on graphic process has been proposed recently, which gets the velocity in optical imaging modality through measuring the continuous displacement of floating debris, then reconstructs a two-dimensional river surface velocity field by using the velocity of floating debris, and computes the section flow at last. However, the surface optical images have not only lights of target information, but also surface optical noise. It is difficult for reliable and stable continuous displacement detection of complex small observation target, which occupies only a small number of pixels comparing to a large field imaging area and has complex optical reflection properties. To solve this problem, this paper presents a background suppression method based on soft morphology and Retinex theory. Soft morphology is firstly used for the opening operation of the image, and then Retinex theory is used for optimal estimation of image incident component to suppress background of image. Finally, the simulations show that our method is superior to gray morphology and soft morphology on the performance of targets enhancement, noise filtering, and background suppression, and it has better background and targets discrimination quality subjective evaluation and higher signal-to-clutter ratio.http://dx.doi.org/10.1155/2015/389487 |
| spellingShingle | Lili Zhang Tanghuai Fan Xin Wang Cheng Kong Xijun Yan New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory Journal of Electrical and Computer Engineering |
| title | New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory |
| title_full | New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory |
| title_fullStr | New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory |
| title_full_unstemmed | New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory |
| title_short | New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory |
| title_sort | new method of image background suppression based on soft morphology and retinex theory |
| url | http://dx.doi.org/10.1155/2015/389487 |
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