Hassanpour, Reza
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Hassanpour, R
Hassanpour, R.
Zare-Hassanpour, Reza
Hassanpour, Reza Z.
Hassanpour, R.
Zare-Hassanpour, Reza
Hassanpour, Reza Z.
Job Title
Doç. Dr.
Email Address
Main Affiliation
06.09. Yazılım Mühendisliği
Yazılım Mühendisliği
06. Mühendislik Fakültesi
01. Çankaya Üniversitesi
Yazılım Mühendisliği
06. Mühendislik Fakültesi
01. Çankaya Üniversitesi
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
13
CLIMATE ACTION
0
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
3
GOOD HEALTH AND WELL-BEING
1
Research Products
15
LIFE ON LAND
0
Research Products
17
PARTNERSHIPS FOR THE GOALS
0
Research Products
14
LIFE BELOW WATER
0
Research Products
4
QUALITY EDUCATION
0
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
10
REDUCED INEQUALITIES
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
2
ZERO HUNGER
0
Research Products
1
NO POVERTY
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
5
GENDER EQUALITY
0
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output
34
Articles
18
Views / Downloads
1051/122
Supervised MSc Theses
0
Supervised PhD Theses
0
WoS Citation Count
207
Scopus Citation Count
303
WoS h-index
7
Scopus h-index
9
Patents
0
Projects
0
WoS Citations per Publication
6.09
Scopus Citations per Publication
8.91
Open Access Source
5
Supervised Theses
0
Google Analytics Visitor Traffic
| Journal | Count |
|---|---|
| PeerJ Computer Science | 2 |
| Journal of Medical Systems | 2 |
| 17th International Symposium on Computer and Information Sciences -- OCT 28-30, 2002 -- UNIV CENT FLORIDA, ORLANDO, FL | 1 |
| 2012 International Conference On Digital Image Computing Techniques and Applications (Dicta) | 1 |
| 2nd International Conference on Pattern Recognition and Image Analysis IPRIA -- MAR 11-12, 2015 -- Rasht, IRAN | 1 |
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34 results
Scholarly Output Search Results
Now showing 1 - 10 of 34
Article Human Face Identification Using M-Pca Augmented With Gabor Wavelet(2005) Karaömeroǧlu, B.; Hassanpour, Reza; Hassanpour, R.; Yazılım MühendisliğiIn this paper, a specialized version of PCA augmented with Gabor Wavelet Transform is proposed for face identification. Firstly, to cope with the variations due to illumination and facial expression changes 2D Gabor Wavelet Transform is applied; then for reducing a large set of correlated variables to a small number of uncorrelated components the PCA approach is used with some modifications. Based on the effect of the illumination, facial expression and occluding objects such as eye glasses and facial hair, performance of the proposed algorithm is compared with the other algorithms.Article Citation - WoS: 21Citation - Scopus: 22Computerized Detection and Segmentation of Mitochondria on Electron Microscope Images(Wiley, 2012) Tasel, S. F.; Perkins, G.; Martone, M. E.; Gurcan, M. N.; Mumcuoglu, E. U.; Hassanpour, R.Mitochondrial function plays an important role in the regulation of cellular life and death, including disease states. Disturbance in mitochondrial function and distribution can be accompanied by significant morphological alterations. Electron microscopy tomography (EMT) is a powerful technique to study the 3D structure of mitochondria, but the automatic detection and segmentation of mitochondria in EMT volumes has been challenging due to the presence of subcellular structures and imaging artifacts. Therefore, the interpretation, measurement and analysis of mitochondrial distribution and features have been time consuming, and development of specialized software tools is very important for high-throughput analyses needed to expedite the myriad studies on cellular events. Typically, mitochondrial EMT volumes are segmented manually using special software tools. Automatic contour extraction on large images with multiple mitochondria and many other subcellular structures is still an unaddressed problem. The purpose of this work is to develop computer algorithms to detect and segment both fully and partially seen mitochondria on electron microscopy images. The detection method relies on mitochondria's approximately elliptical shape and double membrane boundary. Initial detection results are first refined using active contours. Then, our seed point selection method automatically selects reliable seed points along the contour, and segmentation is finalized by automatically incorporating a live-wire graph search algorithm between these seed points. In our evaluations on four images containing multiple mitochondria, 52 ellipses are detected among which 42 are true and 10 are false detections. After false ellipses are eliminated manually, 14 out of 15 fully seen mitochondria and 4 out of 7 partially seen mitochondria are successfully detected. When compared with the segmentation of a trained reader, 91% Dice similarity coefficient was achieved with an average 4.9 nm boundary error.Article A Model for Adopting Cloud Computing in Government Sector: Case Study in Iraq(Nadia, 2020) Al Bajjari, Faten; Hassanpour, RezaCloud computing is an on-demand delivery system of computing resources, such as servers, databases, storage, networking, software, and analytics, over the Internet on a pay-for-use basis. This technology is not currently widely utilized in government institutions, especially in the case of Iraq, for different factors. The main objective of this research is to identify the most critical factors that prevent the adoption of cloud computing, through developing a conceptual model that integrates the Technology Organization, and Environment (TOE) framework, Iacovou et al.' s model, and the Diffusion of Innovation (DOI) theory. The key factors influencing the adoption of cloud technology have been determined through literature review. The results show that the most significant concerns that can have a negative impact in the decision of adoption are as follows: feasibility, trust, regulatory concerns, IT readiness, privacy, compatibility, government support, availability and reliability, industry type, security, cost, complexity, organization size, organization culture, as well as direct benefits and indirect benefits have a positive impact in the decision of cloud adoption. Moreover, the researchers used the CloudAnalyst simulator to identify the real time performance of the cloud technology environment, and applied two algorithms via this tool, namely the Analytical Hierarchy Process (AHP) technique, which used to obtain the weight of variables depending on the questionnaire results, and the Elliptic Curve Digital Signature Algorithm (ECDSA), which used to identify the privacy and security of cloud technology. Finally, the researchers have proposed guidelines to help government institutions to move to the cloud environment in an effective manner.Publication Digital Video Stabilization Using Radon Transform(IEEE, 2012) Babagholami-Mohamadabadi, Behnam; Bagheri-Khaligh, Ali; Hassanpour, RezaDigital video stabilization is a category of techniques used to reduce the impact of unintentional camera motion such as jitter, jiggle, and other unsteady motions. These unintentional shakings degrade visual quality of videos and reduce the performance of subsequent processes such as video compression. Digital video stabilization which is performed by post processing the acquired frames, suffers from inaccuracy of motion estimation which is mostly due to the local motions of internal moving objects included in videos, and long processing time which prohibits them from being used in real time applications. In this paper we propose a fast and accurate transform based motion estimation method which is robust to internal moving objects. Our experimental results with real and synthesized data indicate efficacy of our proposed method.Conference Object Citation - WoS: 8Citation - Scopus: 13Improving Visual Quality in Wireless Capsule Endoscopy Images With Contrast-Limited Adaptive Histogram Equalization(Ieee, 2015) Moradi, Maryam; Falahati, Azin; Shahbahrami, Asadollah; Zare-Hassanpour, RezaWireless Capsule Endoscopy (WCE) is a non-invasive device for detection of gastrointestinal problems especially small bowel diseases, such as polyps which causes gastrointestinal bleeding. The quality of WCE images is very important for diagnosis. In this paper, a new method is proposed to improve the quality of WCE images. In our proposed method for improving the quality of WCE images, Removing Noise and Contrast Enhancement (RNCE) algorithm is used. The algorithm have been implemented and tested on some real images. Quality metrics used for performance evaluation of the proposed method is Structural Similarity Index Measure (SSIM), Peak Signal-to-Noise Ratio (PSNR) and Edge Strength Similarity for Image (ESSIM). The results obtained from SSIM, PSNR and ESSIM indicate that the implemented RNCE method improve the quality of WCE images significantly.Article A Two-Stage Matching Method for Multi-Component Shapes(Univ Suceava, Fac Electrical Eng, 2015) Hassanpour, RezaIn this paper a shape matching algorithm for multiple component objects has been proposed which aims at matching shapes by a two-stage method. The first stage extracts the similarity features of each component using a generic shape representation model. The first stage of our shape matching method normalizes the components for orientation and scaling, and neglects minor deformations. In the second stage, the extracted similarity features of the components are combined with their relative spatial characteristics for shape matching. Some important application areas for the proposed multi-component shape matching are medical image registration, content based medical image retrieval systems, and matching articulated objects which rely on the a-priori information of the model being searched. In these applications, salient features such as vertebrae or rib cage bones can be easily segmented and used. These features however, show differences from person to person on one hand and similarities at different cross-sectional images of the same examination on the other hand. The proposed method has been tested on articulated objects, and reliable registration of 3-dimensional abdominal computed tomography images.Article Citation - Scopus: 5Active Defense Strategy Against Jamming Attack in Wireless Sensor Networks(Modern Education and Computer Science Press, 2019) Al-Shai, N.F.A.; Hassanpour, R.Wireless Sensor Networks WSNs are being utilized increasingly nowadays due to their ability to collect data from stationary, moving, reachable or unreachable fields. Progressive developments in WSN techniques add efficiency, reliability and better power management possibility, but they are still vulnerable and sensitive to security threats. The most effective threat to WSN is DOS attacks, which are detectable but in many cases unpreventable yet. An authentication-based defensive approach against DOS attack combined with jamming attack that prevents transferring data between attacked nodes in a cluster and cluster head node is proposed in this study. The proposed method encompasses developing an algorithm with ability to bypass attacked path via alternative safe one under control of cluster head to mitigate the False Node Excluding DOS due to jamming attack. The proposed method has been experimentally tested against similar methods from the literature with arbitrary study cases. Our proposed algorithm shows promising results in mitigating False Node Exclusion DOS (FNEDOS) attack where a full recovery of the attacked node is achieved in case of isolated nodes, and improvement between 36% and 52% is obtained when the attack affects a group of nodes at proxim © 2019 MECS.Article Citation - Scopus: 3Experimental Study on the Sensitivity of Autocalibration To Projective Camera Model Parameters(Spie-soc Photo-optical instrumentation Engineers, 2006) Atalay, Volkan; Hassanpour, RezaExisting methods of 3-D object modeling and recovering 3-D data from uncalibrated 2-D images are subject to errors introduced by assumptions about camera parameters and mismatches in finding point pairs in the images. In this study, we experimentally evaluate the effect of each of these assumptions together with the inaccuracy in the measurements in the images. Sensitivity of reconstruction errors to inaccuracies in the estimation of camera parameters and mismatches due to noise in input data is measured using a linear and two nonlinear autocalibration methods for a projective camera. Our experimental results show that some assumptions such as a vanishing skew can be safely made; however, other parameters such as principal point location are quite sensitive to wrong assumptions. (c) 2006 Society of Photo-Optical Instrumentation Engineers.Conference Object Citation - WoS: 2Citation - Scopus: 6Region Based Hand Gesture Recognition(Union Agency Science Press, 2008) Birdal, Ahmet; Hassanpour, Reza; Hassanpour, Reza; Yazılım MühendisliğiEvolution of user interfaces shapes the change in the human-computer interaction. With rapid emerge of three-dimensional (3-D) applications, the need for a new type of interaction device arises since traditional devices such as mouse, keyboard, and joystick become inefficient for interaction within these virtual environments. A better interaction in virtual environments requires a natural and suitable device. "Hand Gesture" concept in human computer interaction which has become popular in recent years can be used to develop such an interaction device. This study reports the development of a real-time, low cost, vision based hand gesture recognition system that works precisely on a relatively small restricted gesture space for single user robot control and human-computer interaction in such an environment that the lighting is relatively stable and the background is not complex.Conference Object A Novel Intelligent and Fast Question Answering System for World Wide Web(int inst informatics & Systemics, 2007) Aşkun, Ali Rıza; Bolat, Saadettin; Demirbulak, Dilara; Askun, Ali Riza; Dernirbulak, Dilara; Hassanpour, Reza; Bolat, Saadettin; Hassanpour, Reza; Ortak Dersler Bölümü; İngiliz Dili ve Edebiyatı; Yazılım Mühendisliği; Bilgisayar MühendisliğiThe World Wide Web has expanded to include on-line access to an almost unlimited number of documents. However, this enormous source of information brings with it the problem of searching the documents efficiently and easily. We have developed a Web-based Question Answering System, which primarily focuses on open domain fact-based short answer questions and also some definition questions. The most important characteristics of the system are its capability in understanding questions given in a natural language style and the effective search which avoids transferring a large amount of unnecessary data. Experimental results show the superiority of the proposed method to available similar systems in terms of accuracy.
