Color Spaces in Data Fusion of Multi-temporal Images

1. Baum, K.G., Helguera, M., Hornak, J.P., Kerekes, J.P., Montag, E.D., Unlu, M.Z., Feiglin, D.H., Krol, A.: Techniques for fusion of multimodal images: application to breast imaging. In: 2006 IEEE International Conference on Image Processing. IEEE (2006)

   Google Scholar 

2. Goshtasby, A.A., Nikolov, S.: Image fusion: advances in the state of the art. Information Fusion 8(2), 114–118 (2007)

   Article  Google Scholar 

3. Bedi, S., Jyoti, A., Pankaj, A.: Image fusion techniques and quality assessment parameters for clinical diagnosis: A Review. International Journal of Advanced Research in Computer and Communication Engineering 2(2), 2319–5940 (2013)

   Google Scholar 

4. James, A.P., Dasarathy, B.V.: Medical image fusion: A survey of the state of the art. Information Fusion 19, 4–19 (2014)

   Article  Google Scholar 

5. Pujol, A., Chen, L.: Color quantization for image processing using self information. In: 2007 6th International Conference on Information, Communications & Signal Processing. IEEE (2007)

   Google Scholar 

6. Wyszecki, G., Stiles, W.S.: Color science. Wiley, New York (1982)

   Google Scholar 

7. Banu, S., Sattar, S.A.: The comparative study on color Image segmentation Algorithm. International Journal of Engineering Research an Applications 2(4), 1277–1281 (2012)

   Google Scholar 

8. Paschos, G.: Perceptually uniform color spaces for color texture analysis: an empirical evaluation. IEEE Transactions on Image Processing 10(6), 932–937 (2001)

   Article  MATH  Google Scholar 

9. Kim, A.-R., Kim, H.-s., Park, S.-o.: Measuring of the perceptibility and acceptability in various color quality measures. Journal of the Optical Society of Korea 15(3), 310–317 (2011)

   Article  Google Scholar 

10. Luo, M.R., Cui, G., Rigg, B.: The development of the CIE 2000 colour-difference formula: CIEDE2000. Color Research & Application 26(5), 340–350 (2001)

    Article  Google Scholar 

11. Joel Gibson, R.: Spiral CT of the Liver: is Biphasic or Triphasic Scanning the Routine in your Department? In: Advance for Imaging & Radiation Oncology (2010)

    Google Scholar 

12. Tarantino, L., Sordelli, I., Nocera, V., Piscopo, A., Ripa, C., Parmeggiani, D., Sperlongano, P.: Ablation of large HCCs using a new saline-enhanced expandable radiofrequency device. Journal of ultrasound 12(2), 69–74 (2009)

    Article  Google Scholar 

13. van Leeuwen, M.S., Noordzij, J., Feldberg, M., Hennipman, A.H., Doornewaard, H.: Focal liver lesions: characterization with triphasic spiral CT. Radiology 201(2), 327–336 (1996)

    Article  Google Scholar 

14. Choi, B., Lee, H., Han, J., Choi, D., Seo, J.B., Han, M.: Detection of hypervascular nodular hepatocellular carcinomas: value of triphasic helical CT compared with iodized-oil CT. AJR. American Journal of Roentgenology 168(1), 219–224 (1997)

    Article  Google Scholar 

15. Rattanapitak, W., Udomhunsakul, S.: Comparative efficiency of color models for multi-focus color image fusion. Hong Kong (2010)

    Google Scholar 

16. Tsagaris, V., Anastassopoulos, V.: Multispectral image fusion for improved RGB representation based on perceptual attributes. International Journal of Remote Sensing 26(15), 3241–3254 (2005)

    Article  Google Scholar 

17. Dellepiane, S.G., Angiati, E.: A new method for cross-normalization and multitemporal visualization of SAR images for the detection of flooded areas. IEEE Transactions on Geoscience and Remote Sensing 50(7), 2765–2779 (2012)

    Article  Google Scholar 

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