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Reham Gharbia, Sara Ahmed, and A. E. Hassanien, "Remote Sensing Image Registration Based On Particle Swarm Optimization and Mutual Information", The Second International Conference on INformation systems Design and Intelligent Applications ((INDIA 15), Kalyani, India, January 8-9 , 2015.
Reham Gharbia, S. A. Ahmed, and A. E. Hassanien, "Remote Sensing Image Registration Based on Particle Swarm Optimization and Mutual Information", Information Systems Design and Intelligent Applications: Springer India, pp. 399–408, 2015. Abstract
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Reham Gharbia, Ali Hassan El Baz, A. E. Hassanien, and M. F.Tolba, Remote sensing image fusion approach based on Brovey and wavelets transforms, , 2014. Abstractibica2014_p37.pdf

This paper proposes a remote sensing image fusion approach
based on a modi ed version of Brovey transform and wavelets. The aim is
to reduce the spectral distortion in the Brovey transform and spatial dis-
tortion in the wavelets transform. The remote sensing data sets has been
chosen for the image fusion process and the data sets were selected from
di erent satellite images in south western Sinai, Egypt. Experiments were
conducted on a variety of images, and the results of the proposed image
fusion approach were compared with principle component analysis and
the traditional Brovey approach. The obtained results show that the
proposed approach achieves less de
ection and reduces the distortion.
Several quality evaluation metrics were used for the proposed image fu-
sion like standard deviation, correlation coecient, entropy information,
peak signal to noise ratio, root mean square error and structural simi-
larity index. Experimental results obtained from proposed image fusion
approach prove that the use of the Brovey with wavelets can eciently
preserve the spectral information while improving the spatial resolution
of the remote sensing.

Reham Gharbia, Ali Hassan El Baz, A. E. Hassanien, and M. F. Tolba, "Remote sensing image fusion approach based on Brovey and wavelets transforms", Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014: Springer International Publishing, pp. 311–321, 2014. Abstract
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Sahba, F., H. R. Tizhoosh, and M. M. A. Salama, "Reinforced Medical Image Segmentation", Computational Intelligence in Medical Imaging: Techniques and Applications: Chapman and Hall/CRC, pp. 327–345, 2009. Abstract
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Hassanien, A. - E., and M. Nakajima, "Regular Section-PAPERS-Image Processing, Computer Graphics and Pattern Recognition-Feature-Specification Algorithm Based on Snake Model for Facial Image Morphing", IEICE Transactions on Information and Systems, vol. 82, no. 2: Tokyo, Japan: Institute of Electronics, Information and Communication Engineers, c1992-, pp. 439–446, 1999. Abstract
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Hussein, H. K., A. - E. Hassanien, and M. Nakajima, "Regular Section-PAPERS-Image Processing, Computer Graphics and Pattern Recognition-Escape-Time Modified Algorithm for Generating Fractal Images Based on Petri Net Reachability", IEICE Transactions on Information and Systems, vol. 82, no. 7: Tokyo, Japan: Institute of Electronics, Information and Communication Engineers, c1992-, pp. 1101–1108, 1999. Abstract
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Mohamed Tahoun, A. E. Hassanien, and R. Reulke, "Registration of Optical and Radar Satellite Images Using Local Features and Non-rigid Geometric Transformations", Surface Models for Geosciences: Springer International Publishing, pp. 249–261, 2015. Abstract
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Reham Gharbia, Ali Hassan El Baz, A. E. H. V. S.:, "Region-based Image Fusion Approach of Panchromatic and Multi-spectral Images", , Proceedings of the Second Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2015, pp. 535-545, , Ostrava, Czech Republic, June 29 - July 1, 2015. Abstract

In this paper, a region-based image fusion approach were proposed based on the stationary wavelet transform (SWT) in conjunction with marker-controlled watershed segmentation technique. The SWT is redundant, linear and shift invariant and these properties allow SWT to be realized exploiting a recursive algorithm and gives a better approximation than the DWT. The performance of the fusion approach is illustrated via experimental results obtained with a broad series of images and the experimental results used the MODIS multi-spectral bands and Spot panchromatic band to validate the proposed image fusion technique. Moreover, the visual presentation and different evaluation criteria including the standard deviation, the entropy information, the correlation coefficient, the root mean square error, the peak signal to noise ratio and the structural similarity index was used to evaluate the obtained results. The proposed approach achieves superior results compared with the existing work.

Reham Gharbia, Ali Hassan El Baz, A. E. Hassanien, and V. Snasel, "Region-based Image Fusion Approach of Panchromatic and Multi-spectral Images", Intelligent Data Analysis and Applications: Springer International Publishing, pp. 535–545, 2015. Abstract
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Mostafa, A., M. A. Fattah, A. Fouad, A. E. Hassanien, and T. - H. Kim, "Region growing segmentation with iterative K-means for CT liver images", Advanced Information Technology and Sensor Application (AITS), 2015 4th International Conference on: IEEE, pp. 88–91, 2015. Abstract
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Salama, M. A., A. E. Hassanien, and A. A. Fahmy, "Reducing the influence of normalization on data classification", Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on: IEEE, pp. 609–613, 2010. Abstract
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Salama, M. A., A. E. Hassanien, and A. A. Fahmy, "Reducing the influence of normalization on data classification", Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on: IEEE, pp. 609–613, 2010. Abstract
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Mahmood, M. A., E. T. Al-Shammari, N. El-Bendary, A. E. Hassanien, and H. A. Hefny, "Recommender system for ground-level Ozone predictions in Kuwait", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 107–110, 2013. Abstract
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Hore, S., T. Bhattacharya, N. Dey, A. E. Hassanien, A. Banerjee, and S. R. B. Chaudhuri, "A Real Time Dactylology Based Feature Extractrion for Selective Image Encryption and Artificial Neural Network", Image Feature Detectors and Descriptors: Springer International Publishing, pp. 203–226, 2016. Abstract
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Esraa Elhariri, N. El-Bendary, A. E. Hassanien, A. Badr, A. M. M. Hussein, and Václav Snášel, "Random forests based classification for crops ripeness stages", Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014: Springer International Publishing, pp. 205–215, 2014. Abstract
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Esraa Elhariri, N. El-Bendary, A. E. Hassanien, A. Badr, Ahmed M. M. Hussein, and V. Snasel, "Random forests based classification for crops ripeness stage", The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (Springer) IBICA2014, Ostrava, Czech Republic., 22-24 June, 2014. ibica2014p25.pdf
Azar, A. T., H. I. Elshazly, A. E. Hassanien, and A. M. Elkorany, "A random forest classifier for lymph diseases", Computer methods and programs in biomedicine, vol. 113, no. 2: Elsevier, pp. 465–473, 2014. Abstract
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Azar, A. T., H. I. Elshazly, A. E. Hassanien, and A. M. Elkorany, "Random Forest Classifier for Lymph Diseases", Computer Methods and Programs in Biomedicine , Elsevier 2013 , vol. 113, issue 2, pp. 465-473 , 2014. Website
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