A block advanced PCA fusion algorithm based on PET/CT

Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011

Volumn 2, Issue , 2011, Pages 925-928

  Yang, Jinzhu ^a   Han, Fangfang ^a   Zhao, Dazhe ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

block advanced; image fusion; medical image; PET CT; principal component analysis

Indexed keywords

BLOCK ADVANCED; FUNCTIONAL IMAGES; FUSION ALGORITHMS; MEDICAL IMAGE; MEDICAL IMAGE FUSION; ORIGINAL IMAGES; PET/CT; PRINCIPLE COMPONENTS ANALYSIS;

ALGORITHMS; MEDICAL IMAGING; PRINCIPAL COMPONENT ANALYSIS;

IMAGE FUSION;

EID: 79956052912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2011.517     Document Type: Conference Paper

References (7)

1. Y. Wang, and B. Lohmann, "Multisensor image fusion:concept,method and applications," Institute of Automatic Technology, University of Bremen, 2000.
2. Bender E.J.,Reese C.E., and Van der Wal G.S, "Comparison of additive image fusion vs.feature-level image fusion techniques for enhanced night driving," Proceedings of SPIE.2003, vol 47, no. 96, pp. 140-151.
3. Zhang Z, and Blum R.S., "A categorization of multiscale- decomposition-based image fusion schemes with a performance study for a digital camera application," Proceedings of IEEE.1999, vol. 87, no. 8, pp. 1315-1326.
4. Chipman L.J., Orr Y.M., and Graham L.N, "Wavelets and image fusion," Proceedings of the International Conference on Image Processing. Washington, USA, 1995, pp. 248-251.
5. Yiyao, L Venkatesh, YV and Ko, "A Knowledge-based Neural Network for Fusing Edge MaPs of Multi-Sensor Images," Inofmration Fusion.2001, vol. 2, pp. 121-133.
6. Seprieo S B, and MeiganiF, "A Fuzzy SPatio-Temporal Contextual Classifier for Remote Sensing Images," In:Proc of IEEE Int'1Conf on Geoseience and Remote Sensing SymPosium(IGARSS). 2000, vol. 6, pp. 2438-2440.
7. Ehlers M, "Multisensor image fusion techniques in remote sensing," ISPRS Journal of Photogrammetry and Remote Sensing, 1991, vol. 46, pp. 19-30.