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Detection and classification of vehicles are the most challenging tasks of a video-based intelligent transportation system. Traditional detection and classification methods are based on subtraction of estimated still backgrounds from a video to find out the moving objects. In general, these methods are computationally highly expensive, and in many cases show poor detection and classification performance,...
Motion estimation is the most important component of any video coding standard. So development of an efficient algorithm for fast motion estimation is the basic need for video encoder design. Block based motion estimation algorithms are used for fast motion estimation as block matching algorithms eliminate the temporal redundancy present in any video sequence and use optimized search area to reduce...
This paper aims to obtain an integrated and consecutive original image from noisy image by applying image denoising method. Proposed method employs an “impulse noise detector” to detect the noisy pixels, and an “edge-preserving filter” to reconstruct the intensity values of noisy pixels. Extensive experimental results demonstrate that proposed method can obtain better performances in terms of Peak-to-Signal-Noise-Ratio(PSNR)...
In this paper we analyze the neural progenitor cells in a time-lapse sequence to find position, shape, motility and ancestor of each cell in the frame. Because of the complex nature of cells, the ability to distinguish a cell from the background of an image for automatic quantification remains a challenging task. By using morphological techniques we are able to make a better selection of blob-like...
An implementation of the nonlinear iterative partial least squares algorithm (NIPALS) was used as a test case for use of OpenCL for computation on a general purpose graphics processing unit (GPGPU) cluster using MPI. Timing results are shown along with results of a model of time required per iteration for defined problem sizes. Various steps in optimization of the code are discussed, moving from use...
Text data in an image present useful information for annotation, indexing and structuring of images. The gathered information from images can be applied for devices for impaired people, navigation, tourist assistance or georeferencing business. In this paper we propose a novel algorithm for text detection and localization from outdoor/indoor images which is robust against different font size, style,...
In this paper, a direction-oriented covariance based deinterlacing method is presented. First, the local direction of edge is determined by modified edge-based line average (MELA) method. Then, based on the geometric duality, the optimal interpolation coefficients for the neighbor pixels of corresponding direction are estimated using the Wiener filtering. Experimental results prove that the proposed...
Texture synthesis is a modern technology which grows rapidly in recent ten years. An improved example based texture synthesis algorithm is proposed. The basic idea is from the famous texture synthesis algorithm of WL00[4]. Two improvements are done in this paper. The first one is to automatically determine the neighborhood size during the neighborhood match process, the second one is that each time...
In fingerprint feature extraction, it is perceived that pixel-level image rotation transformation is a lossless transformation process. In this paper, investigation has been conducted on analyzing the underlying mechanisms of fingerprint image rotation processing and potential effect on the major features, mainly minutiae and singular point, of the rotation transformed fingerprint. Qualitative and...
Phase unwrapping is an important and challenging problem in phase contrast magnetic resonance imaging (PC-MRI). In this paper, we propose a new algorithm for phase unwrapping based on graph cuts. Our algorithm takes a patch-based approach which has the advantages of simplicity and robustness to phase noise. To make use of temporal information from the neighboring frames as well as spatial information...
In this paper, we propose a Mixed Signal Parallel Multi 1Dimensional Block Matching Algorithm (MSPM-1D-BMA) based motion estimation (ME) processor. In contrast to the typical 2Dimensional full search block matching algorithm (2DFSBMA), the MSPM-1D-BMA based ME processor will greatly reduce the number of data movements in between memories. We employ a voting algorithm in the proposed ME processor to...
Spacetime stereo is a promising technique for accurate 3D reconstruction based on randomly varying illumination and temporal integration of the stereo matching cost. In this paper we show that the standard spacetime stereo approach can be improved in terms of accuracy of disparity estimation and convergence speed by adoption of suitable matching algorithms based on adaptive support windows. We also...
Magnetic Resonance Imaging (MRI) is one of the best technologies currently being used for diagnosing brain tumor. Brain tumor is diagnosed at advanced stages with the help of the MRI image. Segmentation is an important process to extract suspicious region from complex medical images. Automatic detection of brain tumor through MRI can provide the valuable outlook and accuracy of earlier brain tumor...
Bidirectional motion estimation is an efficient algorithm which can solve the problem of holed and overlapped regions for motion compensated frame interpolation in frame rate up-conversion applications. This paper proposed an efficient VLSI architecture for this algorithm using multi-resolution frames to reduce the hardware resource. The initial motion vectors (MVs) in bidirectional motion estimation...
This paper designs a reconfigurable video MTD IP core, which established in XUP Virtex-II Pro development system platform. The design takes System Generator for the development tool, which is a system-level modeling tool developed by Xilinx Inc, to built a reconfigurable video MTD algorithm in MATLAB/Simulink environment, which is available for the FPGA platform. Then the algorithm is solidified as...
Echocardiography with delineated ventricle borders is a principal technique for quantitative assessment of cardiac function. As it is, most of the prevailing segmentation methods suffer in detecting edges at equivocal regions. This paper presents an effective method for tracking Left Ventricle borders with a lower time complexity. We propose an improved fast watershed algorithm (IFWSA), which scans...
In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The process relies on processing pixels along vertical and horizontal lines taken...
This paper presents a new algorithm for nighttime contrast enhancement. The proposed algorithm modifies the traditional histogram equalization algorithm to maintain the color information of the original nighttime images. The algorithm has a low computational cost that makes it suitable for real-time hardware implementation. In addition, its efficient hardware implementation is detailed on a Xilinx...
With the demand of real time rendering of large scale of filed scenes, which require the graphic's processing unit that have the features of high efficiency and low power. the rasterization of graphics is a stage of compute intensive and is a key part to raise the system performance. In this paper, I improve the “CENTROL LINE” rasterization, is the main method for designing VLSI, and focus on the...
This paper proposes an embedded vision system for real-time moving object tracking using modified mean-shift algorithm for mobile robot application. This design of modified mean-shift algorithm fully utilizing the advanced parallelism of Field Programmable Gate Arrays (FPGA) is capable of processing real-time PAL video of 720*576 at 25 fps. This hardware implementation realizes time-consumed color...
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