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Karam, H., A. E. Hassanien, and M. Nakajima, "極分解補間を用いた線形フラクタル形状のアニメーション", 映像情報メディア学会誌, vol. 53, no. 3: 一般社団法人 映像情報メディア学会, pp. 411–416, 1999. Abstract
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Karam, H., A. E. Hassanien, and M. Nakajima, "Visual Simulation of Texture/Non-Texture Image Synthesis.", IEEE International conference on Computer Graphics , Geneva, Switzerland, 19-24 June 2000 , pp. 343-351, 2000. Abstract

We propose a new and effective image modeling dual technique which is capable of simulating both texture image synthesis and non-texture images like fractals. The technique uses the algebraic approach of graph grammars theory as a new simulation tool for both texture and non-texture image synthesis via its graph production, derivation and double-pushout construction. Validation of our approach is given by discussion and an illustration of some experimental results. An investigation of the relationships between the generated patterns and their corresponding graph grammars is also discussed

Karam, H., A. E. Hassanien, and M. Nakajima, "Visual simulation of texture/non-texture image synthesis", Computer Graphics International, 2000. Proceedings: IEEE, pp. 343–351, 2000. Abstract
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Karam, H., A. E. Hassanien, and M. Nakajima, "Visual simulation of texture/non-texture image synthesis", Computer Graphics International, 2000. Proceedings: IEEE, pp. 343–351, 2000. Abstract
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Ghali, N. I., O. Soluiman, N. El-Bendary, T. M. Nassef, S. A. Ahmed, Y. M. Elbarawy, and A. E. Hassanien, "Virtual reality technology for blind and visual impaired people: Reviews and Recent Advances,", Engineering Advances in Robotics and Virtual Reality, Germany, Intelligent Systems Reference Library - Springer, 2012. Abstract

Virtual reality technology enables people to become immersed in a computer-simulated and three-dimensional environment. In this chapter, we investigate the effects of the virtual reality technology on disabled people such as blind and visually impaired people (VIP) in order to enhance their computer skills and prepare them to make use of recent technology in their daily life. As well as, they need to advance their information technology skills beyond the basic computer training and skills. This chapter describes what best tools and practices in information technology to support disabled people such as deaf-blind and visual impaired people in their activities such as mobility systems, computer games, accessibility of e-learning, web-based information system, and wearable finger-braille interface for navigation of deaf-blind. Moreover, we will show how physical disabled people can benefits from the innovative virtual reality techniques and discuss some representative examples to illustrate how virtual reality technology can be utilized to address the information technology problem of blind and visual impaired people. Challenges to be addressed and an extensive bibliography are included.

Ghali, N. I., O. Soluiman, N. El-Bendary, T. M. Nassef, S. A. Ahmed, Y. M. Elbarawy, and A. E. Hassanien, "Virtual reality technology for blind and visual impaired people: reviews and recent advances", Advances in Robotics and Virtual Reality: Springer Berlin Heidelberg, pp. 363–385, 2012. Abstract
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Ghali, N. I., O. Soluiman, N. El-Bendary, T. M. Nassef, S. A. Ahmed, Y. M. Elbarawy, and A. E. Hassanien, "Virtual reality technology for blind and visual impaired people: reviews and recent advances", Advances in Robotics and Virtual Reality: Springer Berlin Heidelberg, pp. 363–385, 2012. Abstract
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and Nashwa El-Bendary, Esraa El hariri, A. E. H. A. B., "Using Machine Learning Techniques for Evaluating Tomato Ripeness", Expert Systems with Applications, issue Available online 13 October 2014, 2014. AbstractWebsite

Tomato quality is one of the most important factors that helps ensuring a consistent marketing of tomato fruit. As ripeness is the main indicator for tomato quality from customers perspective, the determination of tomato ripeness stages is a basic industrial concern regarding tomato production in order to get high quality product. Automatic ripeness evaluation of tomato is an essential research topic as it may prove benefits in ensuring optimum yield of high quality product, this will increase the income because tomato is one of the most important crops in the world. This article presents an automated multi-class classification approach for tomato ripeness measurement and evaluation via investigating and classifying the different maturity/ripeness stages. The proposed approach uses color features for classifying tomato ripeness stages. The approach proposed in this article uses Principal Components Analysis (PCA) in addition to Support Vector Machines (SVMs) and Linear Discriminant Analysis (LDA) algorithms for feature extraction and classification, respectively. Experiments have been conducted on a dataset of total 250 images that has been used for both training and testing datasets with 10-fold cross validation. Experimental results showed that the proposed classification approach has obtained ripeness classification accuracy of 90.80%, using one-against-one (OAO) multi-class SVMs algorithm with linear kernel function, ripeness classification accuracy of 84.80% using one-against-all (OAA) multi-class SVMs algorithm with linear kernel function, and ripeness classification accuracy of 84% using LDA algorithm.

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Karam, H., A. E. Hassanien, and M. Nakajima, "Three-Dimentional Image Information Media. Animation of Linear Fractal Shapes using Polar Decomposition Interpolation.", 映像情報メディア学会誌, vol. 53, no. 3: The Institute of Image Information and Television Engineers, pp. 411–416, 1999. Abstract
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Hassanien, A., M. Nachtegael, D. VAN DER WEKEN, H. NOBUHARA, and E. Kerre, Soft Computing in Image Processing, : Springer, 2006. Abstract
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Hassanien, A., M. Nachtegael, D. VAN DER WEKEN, H. NOBUHARA, and E. Kerre, Soft Computing in Image Processing, : Springer, 2006. Abstract
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Hassanien, A. E., H. Takahashi, and M. Nakajima, "Semiautomatic feature specification based on snakes for image morphing", Optical Science, Engineering and Instrumentation'97: International Society for Optics and Photonics, pp. 494–502, 1997. Abstract
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Mohamed Tahoun, Abd El Rahman Shabayek, H. Nassar, M. M. Giovenco, R. Reulke, Eid Emary, and A. E. Hassanien, "Satellite Image Matching and Registration: A Comparative Study Using Invariant Local Features", Image Feature Detectors and Descriptors: Springer International Publishing, pp. 135–171, 2016. Abstract
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Li, T., H. S. Nguyen, G. Wang, J. W. Grzymala-Busse, R. Janicki, A. - E. Hassanien, and H. Yu, Rough Sets and Knowledge Technology: 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012, Proceedings, : Springer, 2012. Abstract
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Li, T., H. S. Nguyen, G. Wang, J. W. Grzymala-Busse, R. Janicki, A. - E. Hassanien, and H. Yu, Rough Sets and Knowledge Technology: 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012, Proceedings, : Springer, 2012. Abstract
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Awad, A. I., H. M. Zawbaa, H. A. Mahmoud, E. H. H. A. Nabi, R. H. Fayed, and A. E. Hassanien, "A robust cattle identification scheme using muzzle print images", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 529–534, 2013. Abstract
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Awad, A. I., H. M. Zawbaa, H. A. Mahmoud, E. H. H. A. Nabi, R. H. Fayed, and A. E. Hassanien, "A robust cattle identification scheme using muzzle print images", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 529–534, 2013. Abstract
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Heba, T., E. - B. Nashwa, H. AboulElla, B. Yehia, and S. Vaclav, "Retinal Feature-Based Registration Schema", Informatics Engineering and Information Science Communications in Computer and Information Science Volume 252, 2011, pp 26-36 , Ostrava, Czech Republic, 7-9 July, 2011. Abstract

This paper presents a feature-based retinal image registration schema. A structural feature, namely, bifurcation structure, has been used for the proposed feature-based registration schema. The bifurcation structure is composed of a master bifurcation point and its three connected neighbors. The characteristic vector of each bifurcation structure consists of the normalized branching angle and length, which is invariant against translation, rotation, scaling, and even modest distortion. The proposed schema is composed of five fundamental phases, namely, input retinal images pre-processing, vascular network detection, noise removal, bifurcation points detection in vascular networks, and bifurcation points matching in pairs of retinal images. The effectiveness of the proposed schema is demonstrated by the experiments with 12 pairs retinal images collected from clinical patients. The registration is carried out through optimizing a certain similarity function, namely, normalized correlation of images. It has been observed that the proposed schema has achieved good performance accuracy.

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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Farouk, A., M. Elhoseny, J. Batle, M. Naseri, and A. E. Hassanien, "A Proposed Architecture for Key Management Schema in Centralized Quantum Network", Handbook of Research on Machine Learning Innovations and Trends: IGI Global, pp. 997–1021, 2017. Abstract
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Youssef, A., A. Nitaj, and A. E. Hassanien, Progress in Cryptology-AFRICACRYPT 2013, : Springer Berlin Heidelberg, 2013. Abstract
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Karam, H., A. E. Hassanien, and M. Nakajima, "Petri Net Modeling Methods for Generating Self-Similar Fractal Images (マルチメディア情報処理研究会)", 映像情報メディア学会誌: 映像情報メディア, vol. 52, no. 12: 一般社団法人映像情報メディア学会, pp. 1807, 1998. Abstract

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Karam, H., A. E. Hassanien, and M. Nakajima, "Petri Net Modeling Methods For Generating Self-Similar Fractal Images", 映像情報メディア学会技術報告, vol. 22, no. 45: 一般社団法人映像情報メディア学会, pp. 13–18, 1998. Abstract
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