A high-speed stereovision system based on smart cameras is presented to track table tennis ball. A distributedparallelprocessing architecture is developed to improve the real-time performance of the system. A set of...
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The main objective of developing an image watermarking technique is to satisfy both imperceptibility and robustness requirements. To achieve this objective, a hybrid image watermarking scheme based on discrete wavelet...
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ISBN:
(纸本)9780769550053
The main objective of developing an image watermarking technique is to satisfy both imperceptibility and robustness requirements. To achieve this objective, a hybrid image watermarking scheme based on discrete wavelet transform and singular value decomposition is proposed in this paper. In our approach, the edge information of an image is used to embed the watermark. In addition, we apply the particle swarm optimization algorithm to search the proper value of scaling factor which is used to determine the watermark strength. Experimental results are provided to illustrate the proposed approach is able to withstand a variety of imageprocessing attacks.
Encodings of N-dimensional images on planar screens are studied from the standpoint of their suitability for reduction of N-dimensional imageprocessing to 2-dimensional one. Such a reduction, if possible, would allow...
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IP spoofing is prevalently used in DDoS attacks for anonymity and amplification, making them harder to prevent. Combating spoofing attacks requires the collaboration of different autonomous systems (ASes). Existing me...
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ISBN:
(纸本)9781467375887
IP spoofing is prevalently used in DDoS attacks for anonymity and amplification, making them harder to prevent. Combating spoofing attacks requires the collaboration of different autonomous systems (ASes). Existing methods either lack flexibility in collaboration or require centralized control in the inter-AS environment. In this paper, we propose a distributed Collaboration System (DISCS) for inter-AS spoofing defense, which allows ASes to flexibly collaborate in spoofing defense in a distributed manner. Each DISCS-enabled AS implements four defense functions. When a victim AS is under a spoofing attack, it can request other ASes to execute the most appropriate defense functions. We present the distributed and flexible control plane design and the backward compatible and incrementally deployable data plane design for both IPv4 and IPv6. We evaluate DISCS with theoretical proof and simulations using real Internet data. The results show that DISCS has strong deployment incentives, high effectiveness, minimal false positives, modest resource consumption and strong security.
Few-shot semantic segmentation is a technique with significant potential for medical image segmentation tasks. Most existing few-shot semantic segmentation methods require fully annotated labels for the training proce...
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ISBN:
(数字)9798350367331
ISBN:
(纸本)9798350367331;9798350367348
Few-shot semantic segmentation is a technique with significant potential for medical image segmentation tasks. Most existing few-shot semantic segmentation methods require fully annotated labels for the training process. However, these methods may not be suitable for medical images, where data collection and labeling are challenging. To address this issue, this paper proposed an enhanced, few-shot semantic segmentation model with a new pre-processing step to generate pseudo-labels automatically. In this paper, parallel computing is also developed to accelerate image pre-processing. Experiments done on MRI image datasets present the effectiveness of the new approach since it outperforms conventional few-shot semantic segmentation methods.
A thinning algorithm is a very important factor in order to recognize the character, figure, and drawing Until comparatively lately, the thinning algorithm was proposed by various methods In this paper, we ascertain t...
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ISBN:
(纸本)0780367251
A thinning algorithm is a very important factor in order to recognize the character, figure, and drawing Until comparatively lately, the thinning algorithm was proposed by various methods In this paper, we ascertain the point at issue of ZS, LW and WHF algorithms that are the parallel thinning algorithms The parallel thinning algorithm means the first processing doesn't have to influence to the second processing ZS algorithm has a problem that loses pixels in slanting lines and LW algorithm doesn't have one pixel width in slanting lines So we propose an enhanced parallel thinning algorithm that connects the pixels each other and preserves the end point.
Efficient analysis of medical images to assist physician's decision making is an important task. However, the analysis of such images often requires sophisticated segmentation and classification algorithms. An app...
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ISBN:
(纸本)0819454966
Efficient analysis of medical images to assist physician's decision making is an important task. However, the analysis of such images often requires sophisticated segmentation and classification algorithms. An approach to speed up these time consuming operations is to use parallelprocessing. In this paper a new parallel system for medical image analysis is presented. The system combines distributed and shared memory architectures using MPI and the inter-process communication switching mechanism (IPC). MPI is used to communicate between nodes and shared-memory IPC is used to perform shared memory operations among processors within a node. We show how to map a clinical endoscopic image analysis algorithm efficiently onto this architecture. This results in an implementation with significant runtime savings.
As GPU becomes an integrated component in handheld devices, this paper introduces a speed-up imageprocessing method utilizing low -power GPU and CPU in mobile platforms. When using GPU for general-purpose computing a...
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ISBN:
(纸本)9781479979677
As GPU becomes an integrated component in handheld devices, this paper introduces a speed-up imageprocessing method utilizing low -power GPU and CPU in mobile platforms. When using GPU for general-purpose computing as well as CPU, data format conversion and data transfer to the other processor unit should be conducted. Moreover, idle time may occur whenever a processor unit is deliberately kept idle in the face of waiting tasks of the other processor unit. Considering these limitations, video decoding and data format conversion tasks are distributed to CPU side and imageprocessing task is assigned to GPU side. These tasks of CPU and GPU are performed in parallel. Furthermore, to balance different capabilities of the processors, buffer control is implemented between the processors. The experimental results show that the proposed method can achieve significant speed-up compared to CPU and GPU sequential processing structure.
The aim of this paper is to present a distributed implementation of the Type-2 Fuzzy Logic (T2FL) algorithm in a mobile agent based distributed computing platform. The proposed algorithm is assigned to be implemented ...
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ISBN:
(纸本)9781467387491
The aim of this paper is to present a distributed implementation of the Type-2 Fuzzy Logic (T2FL) algorithm in a mobile agent based distributed computing platform. The proposed algorithm is assigned to be implemented on an SPMD (Single Program Multiple Data) architecture which is based on a cooperative mobile agent model. It is constituted by a set of mobile agents as AVPEs (Agent Virtual processing Elements) in order to improve the processing resources needed for performing the big data image segmentation. In this work we focused on the application of this algorithm to process the big data MRI (Magnetic Resonance images) image. The input image is splitted into elementary images by the Mobile Team leader Agent and encapsulated one per AVPE. Each AVPE perform and exchange the segmentation results and maintain asynchronous communication with their Team leader agent until the convergence of this algorithm. The obtained experimental results in terms of accuracy and efficiency analysis of the proposed distributed implementation are achieved thanks to the mobile agents several interesting skills introduced in this distributed computational model.
parallelization on a GPU (graphics processing unit) cluster is an effective approach to reducing the huge computation time of backprojection, which is the most accurate SAR (synthetic aperture radar) imaging algorithm...
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ISBN:
(纸本)9781538623268
parallelization on a GPU (graphics processing unit) cluster is an effective approach to reducing the huge computation time of backprojection, which is the most accurate SAR (synthetic aperture radar) imaging algorithm for reconstructing images with no errors caused by the platform motion. To obtain accurate imagery in real-time, we developed a distributedparallel backprojection algorithm for stripmap SAR on GPU clusters, which reconstruct the image while receiving signals from the remote platform. In the case of receiving the 1.9 GiB signals from the remote storage through 1GbE, we found that 16 GPUs on the 4 nodes are 11.5 times faster than 1 GPU, and they finished the imaging 1.0s after receiving all signals.
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