Abstract
Chebyshev (sometimes referred to as Tchebichef) moments, introduced recently in [1], belong to a class of discrete orthogonal moments. In this paper, Chebyshev moments are used to analytically reconstruct grey level images. Their capability to reconstruct images with and without noise is compared to that of Zernike and Legendre moments, which are well known classes of continuous moments.
| Original language | English |
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| Pages | 2856-2860 |
| Number of pages | 5 |
| Publication status | Published - 2001 |
| Externally published | Yes |
| Event | IEEE International Joint Conference on Neural Networks 2001 - Washington, United States of America Duration: 15 Jul 2001 → 19 Jul 2001 https://ieeexplore.ieee.org/xpl/conhome/7474/proceeding?isnumber=20328 (Proceedings) |
Conference
| Conference | IEEE International Joint Conference on Neural Networks 2001 |
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| Abbreviated title | IJCNN 2001 |
| Country/Territory | United States of America |
| City | Washington |
| Period | 15/07/01 → 19/07/01 |
| Internet address |