The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Today, dry eye disease is a widely seen health problem. It is known that the disease affects %25–%30 of society. In the absence of early diagnosis and treatment, it may cause the occurrence of significant ocular surface damage and then formation of severe eye discomforts. Because of this, at the point of diagnosis and treatment of the common disease an automatic system that provides faster, more accurate...
In this paper, we propose an efficient precoding technique for cooperative wireless systems. The technique aims to reduce the effect of Inter-Symbol Interference (ISI) in cooperative transmissions over frequency-selective channels between two sources nodes, one relay node and one destination node. At each source node, a phase-precoding scheme that changes the phases of the transmitted symbols is applied...
In this paper, we propose an iterative receiver for cooperative wireless systems. We consider wireless transmissions over Rayleigh fading channels between two sources nodes, one relay node and one destination node. The relay node uses Analog Network Coding (ANC) scheme to help the communication between the sources and the destination. At the receiver, we propose a decoding scheme based on successive...
In the paper improved matrix model of the subpixel imaging process by optical scanner is proposed. The possibility of the resolution images increasing up to 2 times relatively a simple image formation is shown. A comparative evaluation of the noise immunity of proposed algorithm is conducted.
High dynamic range (HDR) images that include large differences in brightness levels are studied to address the lack of knowledge on the quality estimation method for real HDR images. For this, we proposed the local peak signal-to-noise ratio (LPSNR), using the maximum value of neighboring pixels. Next, we proposed an objective estimation method that considers spatial frequency characteristics based...
Video processing techniques have been used in determining road traffic conditions and it proved itself quite useful but still cannot adapt to changes in the environment lighting. Human intervention is required to input the new background which would require effort. The project focuses on the creation of a program that uses background elimination in extracting the foreground objects. However, to solve...
Line drawing from a 1938 architectural plan drawn on linen was successfully extracted using Difference-of-Gaussian (DoG) filters. Compared to traditional edge detection and image segmentation techniques, the DoG filter was able to exclude canvas weave patterns and stain without additional morphological operations. The output image using DoG filter can be used for vectorizing the extracted architectural...
The ICIIP (International Conference on Image Information Processing) conference has been a biennial Conference at Jaypee University of Information Technology, Waknaghat, Solan, H.P., India since 2011 with sponsorship of IEEE. The conference has become a platform for Computer Science researchers from India and abroad to exchange research results and ideas on the foundations and applications of Image...
The latest video coding standard, High Efficiency Video Coding (HEVC), has a large amount of complexity in its inter coding. To reduce the complexity of the inter coding for HEVC, an adaptive searching range algorithm is proposed in this paper. The proposed method separates inter coding into a learning stage and predicting stage. In the learning stage, the relationship between the prediction units...
Raw data is commonly presented in graphical form in published literature. Often authors may be in need to source data from such publications. The raw research data is normally not available to fellow researchers due to non availability of data itself or lack of interest of the author to share the data. Presently many software tools are available for extracting the data from the graphs. But the user...
Conventionally, music sharing has been done through two ways: aural transmission and in the form of written documents which is normally called musical scores. As many of these paper based scores have not been published they are subjected to be damaged. To preserve the music an application that has the capability of digitalizing these symbolic images and creating new scores is required. Meanwhile,...
Malware clustering is a big challenge and because of the large amount of samples, it is a problem in Big Data processing. Since the number of Malwares is huge, general clustering algorithms are not applicable to Malware clustering for its time complexity. The time complexity is high since we need to compute similarity between every pair of samples that costs O (n2). In this paper, we apply image processing...
In this talk we seek to provide insight on the general topic of visual soft biometrics (gender, age, ethnicity, etc.). First, we present a new refined definition of soft biometrics, emphasizing on the aspect of human compliance, and then proceed to identify candidate traits that accept this novel definition. Second, we introduce some image processing techniques related to the estimation of some traits...
The most popular metric distance used in iris code matching is Hamming distance. In this paper, we improve the performance of iris code matching stage by applying adaptive Hamming distance. Proposed method works with Hamming subsets with adaptive length. Based on density of masked bits in the Hamming subset, each subset is able to expand and adjoin to the right or left neighbouring bits. The adaptive...
Electroencephalography (EEG) signal is generated by electrical activity of human brain. EEG topographic maps (topomap) give an idea of the brain activation. Brain Mapping may be used to relate the connectivity and functionality of the brain through imaging. Brain functional connectivity helps to find functionally integrated relationship between spatially separated brain regions. Brain connectivity...
In this paper, we aim to assess the accuracy as well as compare between the Microsoft Kinect™ version 1 and Microsoft Kinect™ version 2 with regards to the purpose of respiratory motion tracking. We find that both correlate well to an alternative method of respiratory motion measurement i.e. a respiratory belt, up to a distance of around 2 m. However, we find that the Kinect™ version 2 has a slightly...
Electroencephalogram (EEG)-based diagnosis of major depressive disorder (MDD) may decrease its chances to be misdiagnosed as a bipolar disorder. In this paper, a machine learning (ML) scheme is presented to automate the diagnose process. It is achieved by discriminating the study participants, i.e., the MDD patients and healthy controls based on the features computed from event-related potential (ERP)...
Functional magnetic resonance imaging (fMRI) is one of the finest modality to measure brain activity. Two main steps in the analysis of fMRI data are pre-processing and the statistical analysis. Pre-processing is equally an important part because it takes raw data from the scanner and prepares it for the statistical analysis. This study first explains the realignment during preprocessing and then...
This paper proposes an Eye Gaze Tracking (EGT) technique using a single eye image that can be easily calibrated and mapped for Human Computer Interaction (HCI). The technique employs both geometric and trigonometric relationships to find a user's Point of Regard, followed by calculating user-dependent variables for final mapping onto a user interface (UI). Experimental results show acceptable accuracy...
One of the most challenging problems in computer vision is the ability of understanding video sequences to automatically detect and recognize moving objects. This work presents the development and the inexpensive implementation of an efficient algorithm based on the background subtraction technique adequate for low-cost embedded video surveillance systems. The proposed algorithm exploits the combination...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.