A fast algorithm for computing moments of gray images based on NAM and extended shading approach
Computing moments on images is very important in the fields of image processing and pattern recognition. The non-symmetry and anti-packing model （NAM） is a general pattern representation model that has been developed to help design some efficient image representation methods. In this paper, inspired...
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| Published in | Frontiers of Computer Science Vol. 5; no. 1; pp. 57 - 65 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
Higher Education Press
01.03.2011
SP Higher Education Press Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1673-7350 2095-2228 1673-7466 2095-2236 |
| DOI | 10.1007/s11704-010-0337-3 |
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| Abstract | Computing moments on images is very important in the fields of image processing and pattern recognition. The non-symmetry and anti-packing model （NAM） is a general pattern representation model that has been developed to help design some efficient image representation methods. In this paper, inspired by the idea of computing moments based on the S-Tree coding （STC） representation and by using the NAM and extended shading （NAMES） approach, we propose a fast algorithm for computing lower order moments based on the NAMES representation, which takes O（N） time where N is the number of NAM blocks. By taking three idiomatic standard gray images ＇Lena＇, ＇F16＇, and ＇Peppers＇ in tile field of image processing as typical test objects, and by comparing our proposed algorithm with the conventional algorithm and the popular STC representation algorithm for computing the lower order moments, the theoretical and experimental results presented in this paper show that the average execution time improvement ratios of the proposed NAMES approach over the STC approach, and also the conventional approach are 26.63%, and 82.57% respectively while maintaining the image quality. |
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| AbstractList | Computing moments on images is very important in the fields of image processing and pattern recognition. The non-symmetry and anti-packing model (NAM) is a general pattern representation model that has been developed to help design some efficient image representation methods. In this paper, inspired by the idea of computing moments based on the S-Tree coding (STC) representation and by using the NAM and extended shading (NAMES) approach, we propose a fast algorithm for computing lower order moments based on the NAMES representation, which takes O(N) time where N is the number of NAM blocks. By taking three idiomatic standard gray images ‘Lena’, ‘F16’, and ‘Peppers’ in the field of image processing as typical test objects, and by comparing our proposed algorithm with the conventional algorithm and the popular STC representation algorithm for computing the lower order moments, the theoretical and experimental results presented in this paper show that the average execution time improvement ratios of the proposed NAMES approach over the STC approach, and also the conventional approach are 26.63%, and 82.57% respectively while maintaining the image quality. Computing moments on images is very important in the fields of image processing and pattern recognition. The non-symmetry and anti-packing model （NAM） is a general pattern representation model that has been developed to help design some efficient image representation methods. In this paper, inspired by the idea of computing moments based on the S-Tree coding （STC） representation and by using the NAM and extended shading （NAMES） approach, we propose a fast algorithm for computing lower order moments based on the NAMES representation, which takes O（N） time where N is the number of NAM blocks. By taking three idiomatic standard gray images ＇Lena＇, ＇F16＇, and ＇Peppers＇ in tile field of image processing as typical test objects, and by comparing our proposed algorithm with the conventional algorithm and the popular STC representation algorithm for computing the lower order moments, the theoretical and experimental results presented in this paper show that the average execution time improvement ratios of the proposed NAMES approach over the STC approach, and also the conventional approach are 26.63%, and 82.57% respectively while maintaining the image quality. |
| Author | SAREM, Mudar ZHENG, Yunping |
| Author_xml | – sequence: 1 givenname: Yunping surname: ZHENG fullname: ZHENG, Yunping email: zhengyp@scut.edu.cn organization: School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China – sequence: 2 givenname: Mudar surname: SAREM fullname: SAREM, Mudar organization: School of Software Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Cites_doi | 10.1109/26.623074 10.1006/cviu.1994.1022 10.1049/iet-cvi:20060130 10.1109/TIP.2007.899621 10.1109/TIP.2008.2008078 10.1109/TIP.2008.2007385 10.1109/TIP.2008.2007609 10.1109/TIP.2009.2026623 10.1109/TCSVT.2006.877403 10.1109/26.843184 10.1006/rtim.2001.0266 10.1016/j.patcog.2005.04.004 10.1016/j.jvcir.2006.01.002 10.1109/83.806629 10.1109/TIP.2007.916157 10.1016/0262-8856(94)90001-9 10.1016/0734-189X(85)90133-1 10.3724/SP.J.1016.2010.02397 |
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| Copyright | Copyright reserved, 2014, Higher Education Press and Springer-Verlag Berlin Heidelberg Higher Education Press and Springer-Verlag Berlin Heidelberg 2010 Higher Education Press and Springer-Verlag Berlin Heidelberg 2010. |
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| Keywords | gray image representation Gouraud shading method non-symmetry and antipacking model (NAM) S-Tree coding (STC) moment computation |
| Language | English |
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| Notes | 11-5731/TP S823.4 TP391.41 moment computation, gray image representation, Gouraud shading method, non-symmetry and antipacking model （NAM）, S-Tree coding （STC） Gouraud shading method Document received on :2010-03-17 gray image representation S-Tree coding (STC) non-symmetry and anti-packing model (NAM) moment computation Document accepted on :2010-06-27 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| SubjectTerms | Algorithms Computation Computer Science Gouraud shading method gray image representation Image processing Image quality moment computation non-symmetry and anti-packing model (NAM) Pattern recognition Peppers Representations Research Article S-Tree coding (STC) Shading 图像处理 快速算法 执行时间 灰度图像 计算法 |
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| Title | A fast algorithm for computing moments of gray images based on NAM and extended shading approach |
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