Medical image fusion via an effective wavelet-based approach

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Yang, Yong ^a,b,c   Park, Dong Sun ^b   Huang, Shuying ^a   Rao, Nini ^c  

^a JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b Chonbuk National University   (South Korea)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FUSED IMAGES; FUSION METHODS; HIGH FREQUENCY BANDS; HUMAN VISUAL SYSTEMS; INVERSE WAVELET TRANSFORMS; LOW FREQUENCY BAND; MEDICAL IMAGE FUSION; MEDICAL IMAGES; PHYSICAL MEANINGS; VARIANCE-BASED METHODS; VERIFICATION PROCESS; WAVELET COEFFICIENTS; WAVELET-BASED APPROACH; WINDOW-BASED;

FREQUENCY BANDS; IMAGE PROCESSING; MEDICAL IMAGING; WAVELET TRANSFORMS;

IMAGE FUSION;

EID: 77953509718     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/579341     Document Type: Article

References (43)

1. Maes F., Vandermeulen D., Suetens P., Medical image registration using mutual information Proceedings of the IEEE 2003 91 10 1699 1721
2. Barra V., Boire J.-Y., A general framework for the fusion of anatomical and functional medical images NeuroImage 2001 13 3 410 424
3. Zhu Y.-M., Cochoff S. M., An object-oriented framework for medical image registration, fusion, and visualization Computer Methods and Programs in Biomedicine 2006 82 3 258 267
4. Petrovic V. S., Xydeas C. S., Gradient-based multiresolution image fusion IEEE Transactions on Image Processing 2004 13 2 228 237
5. Zhang Z., Blum R. S., A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application Proceedings of the IEEE 1999 87 8 1315 1326
6. Wang Y., Lohmann B., Multisensor image fusion: concept, method and applications 2000 Bremen, Germany Institute of Automatic Technology, University of Bremen
7. Shivappa S. T., Rao B. D., Trivedi M. M., An iterative decoding algorithm for fusion of multimodal information EURASIP Journal on Advances in Signal Processing 2008 2008 10
8. Redondo R., Sroubek F., Fischer S., Cristobal G., Multifocus image fusion using the log-Gabor transform and a Multisize Windows technique Information Fusion 2009 10 2 163 171
9. Li S., Yang B., Multifocus image fusion using region segmentation and spatial frequency Image and Vision Computing 2008 26 7 971 979
10. Pradhan P. S., King R. L., Younan N. H., Holcomb D. W., Estimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion IEEE Transactions on Geoscience and Remote Sensing 2006 44 12 3674 3686
11. Li S., Kwok J. T., Wang Y., Multifocus image fusion using artificial neural networks Pattern Recognition Letters 2002 23 8 985 997
12. Yang J., Blum R. S., A statistical signal processing approach to image fusion for conceled weapon detection 1 Proceedings of the IEEE International Conference on Image Processing 2002 513 516
13. Burt P. J., Adelson E. H., The Laplacian pyramid as a compact image code IEEE Transactions on Communications 1983 31 4 532 540
14. Burt P. J., Kolczynski R. J., Enhanced image capture through fusion Proceedings of the 4th IEEE International Conference on Computer Vision (ICCV '93) 1993 173 182
15. Toet A., van Ruyven J. J., Valeton J. M., Merging thermal and visual images by a contrast pyramid Optical Engineering 1989 28 7 789 792
16. Toet A., Image fusion by a ration of low-pass pyramid Pattern Recognition Letters 1989 9 4 245 253
17. Toet A., A morphological pyramidal image decomposition Pattern Recognition Letters 1989 9 4 255 261
18. Li H., Manjunath B. S., Mitra S. K., Multisensor image fusion using the wavelet transform Graphical Models and Image Processing 1995 57 3 235 245
19. Matsopoulos G. K., Marshall S., Application of morphological pyramids: fusion of MR and CT phantoms Journal of Visual Communication and Image Representation 1995 6 2 196 207
20. Chipman L. J., Orr T. M., Graham L. N., Wavelets and image fusion 3 Proceedings of the IEEE International Conference on Image Processing 1995 248 251
21. Pu T., Ni G., Contrast-based image fusion using the discrete wavelet transform Optical Engineering 2000 39 8 2075 2082
22. Ma H., Jia C. Y., Liu S., Multisource image fusion based on wavelet transform International Journal of Information Technology 2005 11 7 81 91
23. Acerbi-Junior F. W., Clevers J. G. P. W., Schaepman M. E., The assessment of multi-sensor image fusion using wavelet transforms for mapping the Brazilian Savanna International Journal of Applied Earth Observation and Geoinformation 2006 8 4 278 288
24. Pajares G., Cruz J. M. D. L., A wavelet-based image fusion tutorial Pattern Recognition 2004 37 9 1855 1872
25. Amolins K., Zhang Y., Dare P., Wavelet based image fusion techniquesan introduction, review and comparison ISPRS Journal of Photogrammetry Remote Sensing 2007 62 4 249 263
26. Yu L. F., Zu D. L., Wang W. D., Bao S. L., Multi-modality medical image fusion based on wavelet analysis and quality evaluation Journal of Systems Engineering and Electronics 2001 12 1 42 48
27. Qu G. H., Zhang D. L., Yan P. F., Medical image fusion by wavelet transform modulus maxima Optics Express 2001 9 4 184 190
28. Garg S., Kiran K. U., Mohan R., Tiwary U. S., Multilevel medical image fusion using segmented image by level set evolution with region competition Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBS '06) 2006 7680 7683
29. Cheng S. L., He J. M., Lv Z. W., Medical image of PET/CT weighted fusion based on wavelet transform Proceedings of the 2nd International Conference on Bioinformatics and Biomedical Engineering (iCBBE '08) 2008 2523 2525
30. Mallat S. G., A theory for multiresolution signal decomposition: the wavelet representation IEEE Transactions on Pattern Analysis and Machine Intelligence 1989 11 7 674 693
31. Nikolov S. G., Hill P., Bull D. R., Canagarajah C. N., Wavelets for image fusion Wavelets in Signal and Image Analysis 2001 Dodrecht, The Netherlands Kluwer Academic Publishers 213 244 Computational Imaging and Vision Series
32. Lewis A. S., Knowles G., Image compression using the 2-D wavelet transform IEEE Transactions on Image Processing 1992 1 2 244 250
33. Barni M., Bartolini F., Piva A., Improved wavelet-based watermarking through pixel-wise masking IEEE Transactions on Image Processing 2001 10 5 783 791
34. Huang J. W., Yun Q. S., Dai X. H., A segmentation-based image coding algorithm using the features of human vision system Journal of Image and Graphics 1999 4 5 400 404
35. Watson A. B., Efficiency of a model human image code Journal of the Optical Society of America. A 1987 4 12 2401 2417
36. Mitianoudis N., Stathaki T., Pixel-based and region-based image fusion schemes using ICA bases Information Fusion 2007 8 2 131 142
37. Zitova B., Flusser J., Image registration methods: a survey Image and Vision Computing 2003 21 11 977 1000
38. Liu G.-X., Yang W.-H., A wavelet-decomposition-based image fusion scheme and its performance evaluation Acta Automatica Sinica 2002 28 6 927 934
39. Li M., Zhang X. Y., Mao J., Neighboring region variance weighted mean image fusion based on wavelet transform Foreign Electronic Measurement Technology 2008 27 1 5 6
40. Piella G., A general framework for multiresolution image fusion: from pixels to regions Information Fusion 2003 4 4 259 280
41. Shi W. Z., Zhu C. Q., Tian Y., Nichol J., Wavelet-based image fusion and quality assessment International Journal of Applied Earth Observation and Geoinformation 2005 6 3-4 241 251
42. Zheng Y. F., Essock E. A., Hansen B. C., Haun A. M., A new metric based on extended spatial frequency and its application to DWT based fusion algorithms Information Fusion 2007 8 2 177 192
43. Li M., Cai W., Tan Z., A region-based multi-sensor image fusion scheme using pulse-coupled neural network Pattern Recognition Letters 2006 27 16 1948 1956