Mohiy M. Hadhoud

Work place: Faculty of Computers and Information, Menofia University, Menofia, Egypt



Research Interests: Computational Science and Engineering, Computer systems and computational processes, Image Compression, Image Manipulation, Image Processing, Data Structures and Algorithms


Mohiy M. Hadhoud is a professor of digital communications, signals, image, and multimedia processing. He obtained his Ph.D from the Department of Electronics and Computer Science, University of Southampton, Southampton, England, in 1987. He worked as Vice president of Menoufia University for education and student affairs, Dean of the faculty of Computers and Information, Vice dean, for education and student affairs, faculty of Computers and Information, and Head of Information Technology Department, the faculty of Computers and Information. Now, he is on leave as: Dean of the school of Engineering and Business technology, Canadian International College (CIC) - New Cairo. From 1990 to 1996 he worked as academic supervisor and training Expert in the switching department, Telecommunications College, Saudi Telecom, Kingdom of Saudi Arabia. From 1996 until 2001 he worked in the faculty of Electronics Engineering, Department of Electronics and Communications as an assistant professor of Digital communications and signal processing. In 2001 he become a Professor of Digital communications and signal processing.  Since 2001 worked as a Professor of information technology and Digital communications and signal processing in the department of Information technology, faculty of computers and Information, Menoufia university. During his long career, Prof. Hadhoud had been responsible for teaching of a large number of courses in the fields of communications and telecommunications engineering, signal and image processing, and information technology. He is a coauthor of the book titled "Image Super-Resolution and Applications " Fathi E. AbdEl-Samie, Mohiy M. Hadhoud, Said E. El-Khamy, CRC press, 2013, by Taylor & Francis. Prof. Hadhoud, research interests are in the areas of digital signal processing, adaptive filtering and image processing, multimedia applications, Information security and data hiding, face recognition, and image and video colorization. He, in cooperation with colleagues and students, has published more than 182 papers in international journals, conferences, local journals and local conferences.

Author Articles
Local Detectors and Descriptors for Object Class Recognition

By Faten A. Khalifa Noura A. Semary Hatem M. El-Sayed Mohiy M. Hadhoud

DOI:, Pub. Date: 8 Sep. 2015

Local feature detection and description are widely used for object recognition such as augmented reality applications. There have been a number of evaluations and comparisons between feature detectors and descriptors and between their different implementations. Those evaluations are carried out on random sets of image structures. However, feature detectors and descriptors respond differently depending on the image structure. In this paper, we evaluate the overall performance of the most efficient detectors and descriptors in terms of speed and efficiency. The evaluation is carried out on a set of images of different object classes and structures with different geometric and photometric deformations. This evaluation would be useful for detecting the most suitable detector and descriptor for a particular object recognition application. Moreover, multi-object applications such as digilog books could change the detector and descriptor used based on the current object. From the results, it has been observed that some detectors perform better with certain object classes. Differences in performance of the descriptors vary with different image structures.

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