Mohamed S Yasein | Umm Al-Qura University, Makkah, Saudi Arabia (original) (raw)

papers by Mohamed S Yasein

In this dissertation, the development and performance evaluation of new techniques for image regi... more In this dissertation, the development and performance evaluation of new techniques for image registration and image geometric normalization, which are based on feature points extracted from images are investigated. A feature point extraction method based on scale-interaction of Mexican-hat wavelets is proposed. This feature point extractor can handle images of different scales by using a range of scaling factors for the Mexican-hat wavelet leading to feature points for different scaling factors. Experimental results show that the extracted feature points are invariant to image rotation and translation, and are robust to image degradations such as blurring, noise contamination, brightness change, etc. Further, the proposed feature extractor can handle images with scale change efficiently.

Port-Said Engineering Research Journal

In this paper, an algorithm that aims at improving the coverage of Wireless Sensor Networks (WSN)... more In this paper, an algorithm that aims at improving the coverage of Wireless Sensor Networks (WSN) is proposed. The coverage is improved in random deployment regions by employing some mobile nodes, which can actively move to desired locations. Coverage improvement is attained by incorporating Particle Swarm Optimization (PSO) algorithm tomaximize the sensing coverage area by finding the optimal placement for the mobile sensors that minimizes the overlap between the coverage regions of sensors. The continuous redeployment of the mobile sensor will decrease the uncovered regions and consequently improve the Quality of Service (QoS) of the network. Simulation results demonstrate the effectiveness of the proposed algorithm in increasing the coverage area.The performance of the proposed algorithm is compared with that of the exhaustive search gird based algorithm and results demonstrate that the proposed algorithm is competent for the dynamic deployment in WSNs and has better performance with respect to computation time and effectiveness than the grid quorum based node mobility algorithm.

Applied Artificial Intelligence, 2016

2008 Ieee International Symposium on Circuits and Systems, May 18, 2008

... A computationally efficient way to implement the filtering operation, to obtain (x,sm,spi ), ... more ... A computationally efficient way to implement the filtering operation, to obtain (x,sm,spi ), is using the Fourier trans-form of the Mexican-hat wavelet given by ... 320–334, 1995. [6] X. Dai and S. Khorram, “A feature-based image registration algorithm using improved chain ...

Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005., 2005

ABSTRACT In this paper a new image registration algorithm is proposed. Rotation, translation, and... more ABSTRACT In this paper a new image registration algorithm is proposed. Rotation, translation, and scaling (RTS) transformations are considered in the registration process. The proposed algorithm consists of three main steps: extraction of some feature points using a robust feature points extractor based on scale-interaction of Mexican-hat wavelets, obtaining the correspondence between the features points of the reference and distorted images based on using Zernike moments of neighbourhoods centered on feature points, and estimating the transformation parameters mapping the distorted image to the reference one. Experimental results illustrate the registration accuracy of the proposed technique and its robustness against several common image-processing operations.

2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2009

ABSTRACT A new features based algorithm for face recognition is proposed. The algorithm is based ... more ABSTRACT A new features based algorithm for face recognition is proposed. The algorithm is based on locating features on faces and finding the correspondence of these features between faces using an algorithm which is adopted from the works of Yasein and Agathoklis. The algorithm is using feature extraction through filtering with Mexican-hat wavelets and detection of correspondence of the feature points through comparison of Zernike moments. The transformation of the feature points between images is obtained using an iterative weighted least-squares algorithm which allows to eliminate outliers. The face recognition is based on the residual error between the feature points after transformation. The performance of the proposed method is evaluated using experiments with a face database and compared against existing techniques for face recognition. The results of experiments with varying pose and illumination conditions show that the proposed method performs well compared to existing feature based face recognition techniques.

2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2009

ABSTRACT A blind image watermarking technique with improved robustness to geometric distortions i... more ABSTRACT A blind image watermarking technique with improved robustness to geometric distortions is proposed. The technique relies on geometric properties of image feature points, which are extracted using a feature point extractor based on scale-interaction of Mexican-hat wavelets. These feature points are used to obtain geometric normalization parameters during the embedding process which are used to compensate for geometric distortions during the watermark detection process. Experimental results illustrate the robustness of the proposed technique to geometric attacks in addition to several common image-processing operations.

2007 IEEE International Symposium on Industrial Electronics, 2007

ABSTRACT In this paper an algorithm for aerial image registration is proposed. The objective of t... more ABSTRACT In this paper an algorithm for aerial image registration is proposed. The objective of this algorithm is to register aerial images having only partial overlap, which are also geometrically distorted due to the different sensing conditions and in addition they may be contaminated with noise, may be blurred, etc. The geometric distortions considered in the registration process are rotation, translation and scaling. The proposed algorithm consists of three main steps: feature point extraction using a feature point extractor based on scale-interaction of Mexican-hat wavelets, obtaining the correspondence between the feature points of the first (reference) and the second image based on Zernike moments of neighborhoods centered on the feature points, and estimating the transformation parameters between the first and the second images using an iterative weighted least squares algorithm. Experimental results illustrate the accuracy of image registration for images with partial overlap in the presence of additional image distortions, such as noise contamination and image blurring.

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2005

In this paper, a technique for image normalization to deal with geometric distortions is proposed... more In this paper, a technique for image normalization to deal with geometric distortions is proposed. The technique is based on transforming the image into a standard form with the objective to achieve invariance with respect to geometric distortions. The proposed technique relies on extracting some feature points from the image using a robust feature points extractor based on scale-interaction of Mexican-hat wavelets. The locations of such points are used to estimate the normalization parameters needed to normalize the image. Experimental results illustrate the accuracy of normalization and the robustness against several common image-processing operations.

2007 IEEE International Symposium on Signal Processing and Information Technology, 2007

ABSTRACT In this paper, a technique for image normalization based on the geometric properties of ... more ABSTRACT In this paper, a technique for image normalization based on the geometric properties of image feature points is presented. The proposed technique consists of two main steps, the feature point extraction and the estimation of the normalization parameters. The feature point extraction is carried out using an extractor that based on scale-interaction of Mexican-hat wavelets. The locations of the feature points extracted in the first step are used to estimate the normalization parameters needed for normalizing the image. The proposed technique can be used to normalize input images in a rotation, translation and scale invariant manner. Experimental results illustrate the accuracy of normalization and the robustness against several geometric distortions, image degradations and common image-processing operations.

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2002

... Department of Electrical and Computer Engineering, University of Victoria Victoria, BC, Canad... more ... Department of Electrical and Computer Engineering, University of Victoria Victoria, BC, Canada, V8W 3P6 {myasein, pan} @ece.uvic.ca ... M. Caramma, R. Lancini, E Mapelli, and S. Tubaro, A blind and readable watermarking technique for color images, in Proceedings of the ...

Canadian Conference on Electrical and Computer Engineering, 2005., 2005

ABSTRACT In this paper a new image registration algorithm for restoring the original size, orient... more ABSTRACT In this paper a new image registration algorithm for restoring the original size, orientation, and position of a distorted image is proposed. The algorithm is based on three main steps: extraction of some feature points, obtaining the correspondence between the features points of the reference and distorted images, and estimating the transformation parameters that map the distorted image to the reference one. The proposed algorithm uses an efficient feature points extractor which is based on scale-interaction of Mexican-hat wavelets. The correspondence between feature points of the two images is evaluated using the singular value decomposition (SVD) of circular neighbourhoods centered on feature points. The transformation parameters, transforming the distorted image into the reference one, are obtained as the solution of a least-squares minimization problem using the two sets of feature points. Experimental results illustrate the accuracy of registration and the robustness against several common image-processing operations

2008 IEEE International Symposium on Circuits and Systems, 2008

2014 9th International Conference on Computer Engineering & Systems (ICCES), 2014

Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2011

D meshes are one of the most common representations of 3D objects that have been used in graphics... more D meshes are one of the most common representations of 3D objects that have been used in graphics applications. They often require a huge amount of data for storage and/or transmission. In this paper, we present a new compression algorithm based on stripification of the geometric models that enables us to progressively visualize the 3D models during their transmission. The

2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), 2013

ABSTRACT Near Field Communication (NFC) is a promising technology that provides many advantages f... more ABSTRACT Near Field Communication (NFC) is a promising technology that provides many advantages for applications in the medical service domain. In this paper, we present a comprehensive study of the NFC technology and its security requirements for healthcare applications. We also introduce a new classification of NFC system attacks using a novel multi-dimensional representation. The proposed classification considers three main perspectives to categorize attacks on NFC systems for healthcare applications. These perspectives are: mode of operation, programmability level, and life cycle. Using the proposed classification, we explore the possible threats to NFC systems in healthcare applications and discuss possible vulnerabilities and challenges related to NFC security in the healthcare field.

2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), 2013

ABSTRACT In this paper, a new Electronic Design Automation (EDA) tool that estimates the probabil... more ABSTRACT In this paper, a new Electronic Design Automation (EDA) tool that estimates the probability of successful hacking of Printed Circuit Boards (PCBs) is presented. The tool uses a new analytical model for the probability of successful hacking that is developed using Markov chain analysis. A Graphical User Interface (GUI) is designed as a designer-friendly interface to analyze the security of a PCB based on its technology parameters, which are calibrated using image processing techniques. Based on the simulation results, we propose new design ideas to improve the immunity of PCBs against reverse engineering.

Journal of Circuits, Systems and Computers, 2008

ABSTRACT In this paper, an algorithm for data embedding in images is proposed. The algorithm is b... more ABSTRACT In this paper, an algorithm for data embedding in images is proposed. The algorithm is based on using the Discrete Wavelet Transform domain to embed digital data into images. In order to increase the algorithm robustness and ensure the authentication of the data extracted, error detection/correction coding techniques are used to encode the embedded data. The proposed algorithm is blind, i.e., the embedded data are extracted and authenticated without any reference to the original image or data. Experimental results demonstrate the low perceptibility of distortions caused by the data embedding and the high algorithm robustness against several common image-processing operations.