A Fourier descriptor based on Zernike invariant moments in spherical coordinates for 3D pollen image recognition
This paper presents a new feature extraction method of Fourier descriptor based on the Zernike moments for pollen images recognition. Firstly, Zernike moments of the image are extracted in 3D spherical coordinates. Secondly, genetic algorithm based on probability is used to filter the Zernike moment...
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Published in | 2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) pp. 453 - 457 |
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Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2015
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Abstract | This paper presents a new feature extraction method of Fourier descriptor based on the Zernike moments for pollen images recognition. Firstly, Zernike moments of the image are extracted in 3D spherical coordinates. Secondly, genetic algorithm based on probability is used to filter the Zernike moments to reduce redundant information. Finally the normalized Fourier transform coefficients are calculated as the last feature descriptor. The simulation results on Confocal dataset show that the descriptor can effectively describe the pollen images and is robust to the rotation, translation and scaling of the image. |
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AbstractList | This paper presents a new feature extraction method of Fourier descriptor based on the Zernike moments for pollen images recognition. Firstly, Zernike moments of the image are extracted in 3D spherical coordinates. Secondly, genetic algorithm based on probability is used to filter the Zernike moments to reduce redundant information. Finally the normalized Fourier transform coefficients are calculated as the last feature descriptor. The simulation results on Confocal dataset show that the descriptor can effectively describe the pollen images and is robust to the rotation, translation and scaling of the image. |
Author | Xie Yonghua Xu Zhaofei |
Author_xml | – sequence: 1 surname: Xie Yonghua fullname: Xie Yonghua organization: Jiangsu Eng. Center of Network Monitoring, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China – sequence: 2 surname: Xu Zhaofei fullname: Xu Zhaofei organization: Sch. of Comput. & Software, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China |
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Snippet | This paper presents a new feature extraction method of Fourier descriptor based on the Zernike moments for pollen images recognition. Firstly, Zernike moments... |
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StartPage | 453 |
SubjectTerms | 3D spherical Feature extraction Fourier Fourier transforms genetic algorithm Genetic algorithms Image recognition Image reconstruction support vector machine (SVM) Support vector machines Three-dimensional displays Zernike moments |
Title | A Fourier descriptor based on Zernike invariant moments in spherical coordinates for 3D pollen image recognition |
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