| A Fourier-LDA approach for image recognition | |
| Jing X.-Y.3; Tang Y.-Y.2; Zhang D.1 | |
| 2005-03-01 | |
| Source Publication | Pattern Recognition
 |
| ISSN | 00313203 |
| Volume | 38Issue:3Pages:453-457 |
| Abstract | Fourier transform and linear discrimination analysis (LDA) are two commonly used techniques of image processing and recognition. Based on them, we propose a Fourier-LDA approach (FLA) for image recognition. It selects appropriate Fourier frequency bands with favorable linear separability by using a two-dimensional separability judgment. Then it extracts two-dimensional linear discriminative features to perform the classification. Our experimental results on different image data prove that FLA obtains better classification performance than other linear discrimination methods. © 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. |
| Keyword | Fourier transform Fourier-LDA approach (FLA) Frequency-band selection Linear discrimination analysis (LDA) Two-dimensional separability judgment |
| DOI | 10.1016/j.patcog.2003.09.020 |
| URL | View the original |
| Language | 英語 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Journal article |
| Collection | University of Macau |
| Affiliation | 1.Hong Kong Polytechnic University 2.Hong Kong Baptist University 3.Harbin Institute of Technology |
| Recommended Citation GB/T 7714 | Jing X.-Y.,Tang Y.-Y.,Zhang D.. A Fourier-LDA approach for image recognition[J]. Pattern Recognition,2005,38(3):453-457. |
| APA | Jing X.-Y.,Tang Y.-Y.,&Zhang D..(2005).A Fourier-LDA approach for image recognition.Pattern Recognition,38(3),453-457. |
| MLA | Jing X.-Y.,et al."A Fourier-LDA approach for image recognition".Pattern Recognition 38.3(2005):453-457. |
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