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Al-Azawi M.,De Montfort University | Al-Azawi M.,Oman College of Management and Technology | Yang Y.,De Montfort University | Istance H.,De Montfort University
Souvenir of the 2014 IEEE International Advance Computing Conference, IACC 2014 | Year: 2014

In computer vision applications it is necessary to extract the regions of interest in order to reduce the search space and to improve image contents identification. Human-Oriented Regions of Interest can be extracted by collecting some feedback from the user. The feedback usually provided by the user by giving different ranks for the identified regions in the image. This rank is then used to adapt the identification process. Nowadays eye tracking technology is widely used in different applications, one of the suggested applications is by using the data collected from the eye-tracking device, which represents the user gaze points in extracting the regions of interest. In this paper we shall introduce a new agglomerative clustering algorithm which uses blobs extraction technique and statistical measures in clustering the gaze points obtained from the eye tracker. The algorithm is fully automatic, which means does not need any human intervention to specify the stopping criterion. In the suggested algorithm the points are replaced with small regions (blobs) then these blobs are grouped together to form a cloud, from which the interesting regions are constructed. © 2014 IEEE. Source


Al-Azawi M.,De Montfort University | Al-Azawi M.,Oman College of Management and Technology | Yang Y.,De Montfort University | Istance H.,De Montfort University
Multimedia Tools and Applications | Year: 2014

Saliency or salient region extraction from images is still a challenging field as it needs some understanding of the image and its nature. A technique that is suitable for some applications is not necessarily useful in other applications, thus, saliency identification is dependent upon the application. Based on a survey of existing methods of saliency detection, a new technique to extract the salient regions from an image is proposed that utilizes local features of the region surrounding each pixel. The level of saliency is decided based on the irregularity of the region with compared to other regions. To make the process fully automatic, a new Fuzzy-based thresholding technique has also been developed. In addition to the above, a survey of existing saliency evaluation techniques has been carried out and we have proposed new evaluation methods. The proposed saliency extraction technique has been compared with other algorithms reported in the literature, and the results are discussed in detail. © 2014 Springer Science+Business Media New York Source


Faheem M.,Bahauddin Zakariya University | Din Z.U.,COMSATS Institute of Information Technology | Shahid M.A.,University of Punjab | Shahid M.A.,Oman College of Management and Technology | And 6 more authors.
International Review on Computers and Software | Year: 2013

The wireless arena has been experiencing exponential growth in the last couple of years. In twenty- first century, due to recent advances in sensor and wireless communication technologies have enabled a new generation of massive-scale Wireless sensor network (WSN) and is not-too-distant future when miniature, low-cost sensors may be literally sprayed onto walls, roads, or machines, creating a digital skin that can observe a variety of interested physical phenomena. Due to the severe energy constraint of a sensor node, network architectures and protocol are important aspects in the design of Wireless sensor network due to their big impact on the energy consumption. Since last couple of years to prolong the network lifetime of a tiny sensor node various researchers have proposed a number of energy efficient routing protocols. Up till now, their performance superior or worse cannot be inspected without any suspicion by conventional techniques because of their transformed behavior in different environments. The aspire of this research is to evaluate the performance among energy efficient routing protocols in Wireless sensor networks (WSNs) based on metrics Overhead, Delay, Packet Delivery Ratio (PDR) and Congestion over Energy consumption and Network lifetime. The current research work can be utilized to guide protocol designing, application-specific protocol selection and modification of the existing routing protocols in Wireless sensor networks. Simulations between Energy Efficient Cluster based Data Gathering Protocol ECDGP and Energy Efficient Data Collection Protocol-Tree Based EEDCP-TB confirms their results in term of Overhead, Delay, Packet Delivery Ratio (PDR) and Congestion on Energy consumption and Network lifetime. © 2013 Praise Worthy Prize S.r.l. - All rights reserved. Source


Al-Ani S.,Oman College of Management and Technology
Journal of Theoretical and Applied Information Technology | Year: 2010

Cell phones are the perfect way to stay connected with other and provide the user with a sense of security. However, the importance of cell phone goes way beyond personal safety. Modem cell phones are capable of internet access, sending and receiving photos and files, and some cell phones are equipped with GPS technology, allowing for use the most locations around the world and allowing the cell phone to be found or the user located in the event of loss or emergency. This research focuses on the establishment of rules and basic foundations for imaging the car plate number by using a set of different types of Mobil phones. Also this research can cent rates on provide the foundations in image transmission between the phones. The type of the used phone will be determined and used as a sender and receiver depending on the transmitted image size. The image will be send to the main computer for processing. © 2005-2010 JATIT & LLS. All rights reserved. Source


Al-Azawi M.,De Montfort University | Al-Azawi M.,Oman College of Management and Technology | Yang Y.,De Montfort University | Istance H.,De Montfort University
2013 IEEE International Conference on Computational Intelligence and Computing Research, IEEE ICCIC 2013 | Year: 2013

Saliency or Salient regions extractions form images is still a challenging field since it needs some understanding for the image and the nature of the image. The technique that is suitable in some application is not necessarily useful in other application, thus, saliency enhancement is application oriented. In this paper, a new technique of extracting the salient regions from an image is proposed which utilizes the local features of the surrounding region of the pixels. The level of saliency is then decided based on the global comparison of the saliency-enhanced image. To make the process fully automatic a new Fuzzy-Based thresholding technique has been proposed also. The paper contains a survey of the state-of-the-art methods of saliency evaluation and a new saliency evaluation technique was proposed. © 2013 IEEE. Source

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