Orthogonal moments based texture analysis of CT liver images

Author:

Bharathi V. Subbiah,Ganesan L.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference15 articles.

1. Bharathi, V.S., Raghavan, V.S., Ganesan, L., 2002. Texture classification using Zernike moments. In: Proc. 2nd FAE Internat. Symposium, European University of Lefke, Turkey, pp. 292–294.

2. Cavouras, D., Prassopoulos, P., Karangellis, G., Raissaki, M., Kostaridou, L., Panayiotaki, G., 1996. Application of a neural network and four statistical classifiers in characterizing small focal liver lesions on CT. In: Proc. 18th IEEE Engineering in Medicine and Biology Internat. Conf., pp. 1145–1146.

3. A comparative analysis of algorithms for fast computation of Zernike moments;Chong;Pattern Recognition,2003

4. Glestos, M., Mougiakakou, S.G., Matsopoulos, G.K., Nikita, K.S., Nikita, A.S., Kelekis, D., 2001. Classification of hepatic lesions from CT images using texture features and neural networks. In: Proc. 23rd Annual EMBS Internat. Conf., Turkey, pp. 2748–2752.

5. Dimensionality and sample size consideration in pattern recognition practice;Jain,1982

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