Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Presented paper explains general purpose approach to the parallel pixel processing on GPU. It presents essential dataset structuring, correct type assignment and kernel configuration for CUDA application interface. Paper also explains data movement and optimal computation saturation. Transfers are also analyzed in correlation with the computation especially for the embarrassingly parallel problem...
The most commonly used pixel structure in Integrated Circuit (IC) technologies is the three-transistor pixel structure (3T). This structure consists of a pixel, a reset transistor, as source follower and a pixel select transistor. It has been shown that this structure exhibits the best performance and reliability, although no real in-depth analysis has been previously presented. In this paper, a thorough...
Segmentation of satellite images is an important step for the success of the object detection and recognition in image processing. Segmentation is the process of dividing the image into disjoint homogeneous regions. There are many segmentation methods and approaches, the most popular are clustering methods and approaches such as Fuzzy C-Means (FCM) and K-means. The success of clustering methods depends...
Finding tradeoffs in design space is naturally formulated as a multicriteria optimization problem. In this paper, we model tradeoffs between communication cost and the balance of processor workloads for the problem of mapping applications to processors in a multicore environment. We formulate several query strategies for finding Pareto optimal and approximately Pareto optimal solutions to the mapping...
In this paper, we propose a region-based MRF model with optimized initial regions (RMRF-OIR) for image segmentation. In the RMRF-OIR, a modified mean shift is introduced to get the optimized initial over segmented regions. Then, a region-based MRF is used to model these initial regions on the region adjacency graph. Finally, the segmentation results will be obtained by using a region merging scheme...
The detection effect of the infrared gait image is not good by using traditional detecting methods based on the visible light mode because of its larger noise, blurrier edge and lower contrast. Therefore, a new algorithm of infrared gait detection based on chaos ant colony optimization and space-time combination is proposed. It uses background subtraction method based on temporal domain segmentation...
The goal of image segmentation is to cluster pixels into salient image regions, it is the most significant step in image analysis. Thresholding is a simple but effective tool to separate objects from the background, which is one of the most popular algorithms. The artificial bee colony algorithm (ABC) is a recently presented meta-heuristic algorithm, which has been successfully applied to solve many...
An optimized iterative algorithm for generalized phase-shifting interferometry is proposed. Using 1/4 plate as phase-shifter, we derive the phase distribution with the initial phase shift of π/2, then a more accurate phase shift can be obtained with the obtained phase distribution. The whole iteration includes the above two steps. The exact phase shift is near π/2, so fewer iterative steps are needed...
To satisfy the demand of the real-time computer vision system, a method of camera calibration was analysed. According to the camera model from OpenCV(Intel Open Source Computer Vision Library), with radial aberration and tangential aberration considered, Zhang's arithmetic of camera calibration was applied. As the experimental result showed, the arithmetic exerted OpenCV library function at a great...
Pixel-level image fusion is widely used in many fields. We proposed a pixel-level image fusion algorithm based on particle swarm optimization with local search, that is, PSO-LS, which improves performance further. PSO-LS integrated the self-improvement mechanisms from memetic algorithms and can avoid local minimum in PSO. Experiments were carried out on two real world images. It is shown that fusion...
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose common objects are relatively displaced due to the positioning of vision sensors. In such scenarios the correlation model that relates the displacement between the objects is effectively represented by a disparity image....
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point process framework. We apply it for the size estimation of a penguin colony, where we model a penguin colony as an unknown number of 3D objects. The main idea of the proposed approach is to sample some candidate configurations...
In this paper, we present a seam carving, which is a well-known content-aware image resizing method, with a constraint on bitrates for seam path information (SPI). The SPI corresponds to pixel positions to be pruned and it generally requires high bitrate when we store or transmit it. However, the SPI should be transmitted to receivers in the case that the receivers are devices with low computing power,...
For automatic detection of skin lesion, segmentation has always been a primary issue. Many techniques for segmentation and border detection of skin lesion have been discussed in literature. In this paper, we have proposed a multilevel thresholding algorithm which is primarily based on Otsu's method to find between class variance of image histogram. Our algorithm is able to divide image into multiple...
A promising approach to optimize coverage and capacity in the cellular network is the adjustment of antenna azimuth orientation and tilt. Tuning both antenna parameters without considering a realistic user traffic distribution in the network might result in a cellular layout having cells covering large areas when small areas are expected and vice-versa. In real life scenarios, mobile users are distributed...
The fusion of images captured from multi-modality sensors has been studied for many years. It is aiming at combining multiple sources together to maximize the meaningful information and reduce the redundancy. Meanwhile, sparse representation of images has been attracting more and more attentions. It has been effectively utilized on image reconstruction, image de-noising, super-resolution and others...
Eye illusion is one of the most interesting topics which attracts majority of the people. In this paper, an interactive evolutionary technique has been proposed to improve the illusion factor in eye illusion images. Eye illusion or vision illusion is subjective and can differ from person to person. This technique utilizes an evolutionary algorithm, namely Differential Evolution (DE), to improve the...
This paper presents a novel approach for image completion using global optimization, which combines with patch sparsity-based priority and dynamic structural label pruning. In our approach, the completion problem is described by discrete Markov Random Field model with a well defined objective function, and can be solved by adopting belief propagation. Two important extensions are proposed in the paper:...
In this paper, we propose two fast codebook generation techniques with iterative clustering for Vector Quantization (VQ). The techniques proposed in this paper are, Ordered Pairwise Nearest Neighbor (OPNN) and Ordered Pairwise Nearest Neighbor with Multiple Merging (OPNNMM). The conventional PNN technique has been improved using the proposed techniques to reduce the time taken in searching the nearest...
In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is considered a very difficult task, especially if only a single reference image, for example a mug-shot, per face is available. Usually model-based approaches with additional training data are used to cope with several types of variation...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.