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parallel image processing algorithm

Parallel Processing Models For Image Processing Problems

Parallel Processing Models For Image Processing Problems

... by Rutenbar (1989). In his work, SA is used to design the chip layout and floorplanning. As discussed earlier, simulated annealing is a hill-climbing, gradient-descent technique that has the disadvantage of slow ...

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Parallel embedded processor architecture for FPGA based image processing using parallel software skeletons

Parallel embedded processor architecture for FPGA based image processing using parallel software skeletons

... FPGA-based image processing to provide user guidance and automatic tools for designing and implementing complex image process- ing ...complete algorithm specification(C or C++), the designer ...

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Study of Parallel Image Processing with the Implementation of vHGW Algorithm using CUDA on NVIDIA’S GPU Framework

Study of Parallel Image Processing with the Implementation of vHGW Algorithm using CUDA on NVIDIA’S GPU Framework

... time image processing techniques/issues requisite a massive extent of processing supremacy, expertise in computing and massive resources to perform the computation and ...years. Parallel ...

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An Improved order independent parallel thinning algorithm for Image thinning

An Improved order independent parallel thinning algorithm for Image thinning

... of parallel architectures and the real possibility of realizing machine vision ...to parallel thinning algorithms. The parallel thinning algorithms are characterized by the representation of a ...

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Parallel Processing of Image Segmentation Data Using Hadoop

Parallel Processing of Image Segmentation Data Using Hadoop

... specified image processing application task and simultaneously checking its performance against sequential ...standardized image processing task which can be used to evaluate a single node ...

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Accelerating the image processing by the optimization strategy for deep learning algorithm DBN

Accelerating the image processing by the optimization strategy for deep learning algorithm DBN

... years, image processing especially for remote sensing technology has developed ...of processing remote sensing images has been a research hotspot in this ...when processing by a distributed ...

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A Fully Conservative Parallel Numerical Algorithm with Adaptive Spatial Grid for Solving Nonlinear Diffusion Equations in Image Processing

A Fully Conservative Parallel Numerical Algorithm with Adaptive Spatial Grid for Solving Nonlinear Diffusion Equations in Image Processing

... efficient parallel program implementation of grid-difference method for solving nonlinear parabolic equations, which satisfies both fully conservative property and second order of approximation on non-uniform ...

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Title: Document Image Binarization Using Image Segmentation Algorithm in Parallel Environment

Title: Document Image Binarization Using Image Segmentation Algorithm in Parallel Environment

... document image pixel, is often a better approach to deal with different variations within degraded document images ...local image contrast and the local image gradient are very useful features for ...

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Large Scale Image Processing Using Distributed and          Parallel Architecture

Large Scale Image Processing Using Distributed and Parallel Architecture

... of image data is generated in present scenario due to social media, satellite image, surveillance camera, and medical Image ...manner. Image processing consists of manipulating the ...

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Implementation of FPGA Based Image Processing Algorithm using Xilinx System Generator

Implementation of FPGA Based Image Processing Algorithm using Xilinx System Generator

... the image in real time is time consuming and leads to the only method of implementing the algorithm at hardware ...inherently parallel; this gives the speed to those real time applications while ...

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RIPL: A Parallel Image Processing Language for FPGAs

RIPL: A Parallel Image Processing Language for FPGAs

... for image storage is prohibitive for FPGA implementations, because limited on-chip memory is limited — up to 68Mb of on chip block RAM (BRAM) [Xilinx ...768 image buffers, whilst the $475 Xilinx Zedboard ...

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Parallel Image Processing Using Algorithmic Skeletons

Parallel Image Processing Using Algorithmic Skeletons

... For detecting faces, we have proposed an algorithm [3] by searching for the presence of skin tone colored pixels or groups of pixels. We have used the YUV color domain, because it separates the luminance (Y) from ...

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Bitplane image coding with parallel coefficient processing

Bitplane image coding with parallel coefficient processing

... bitplane image coding with parallel coefficient processing (BPC-PaCo), a wavelet-based coding strategy tailored for SIMD ...the processing of the samples in parallel or sequentially, ...

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Comparative study on performance of 2D Image Processing Algorithm implemented in parallel and sequential models

Comparative study on performance of 2D Image Processing Algorithm implemented in parallel and sequential models

... First we enable the CUDALink with Needs statement of Mathematica [3]. Then we import the note pad file with the desired filename.cuda by using filename join and store it in a memory variable of cuda. Then we declare ...

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An Application of a Parallel Algorithm on an Image Recognition

An Application of a Parallel Algorithm on an Image Recognition

... g and recognition rate of the image and we need to the group of the learning for the modeling. The number of the characteristic vectors is getting more i.e. the characteristic vectors that is composed the ...

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Parallel Alpha-Beta Algorithm on the GPU

Parallel Alpha-Beta Algorithm on the GPU

... The parallel architecture of Nvidia GPUs con- sists of a set of pipelined ...The parallel computation on the GPU is performed as a set of concurrently executing thread blocks, which are organized into a 1D ...

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Knee Deformity Recognition and Deform Angle Measurement

Knee Deformity Recognition and Deform Angle Measurement

... registered image. In pre- processing what we have done is resizing, denoising, deblerring; filtering, dilating, filling etc operations are carried out for further ...

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Parallel Processing Model for Cholesky Decomposition Algorithm in AlgoWiki Project

Parallel Processing Model for Cholesky Decomposition Algorithm in AlgoWiki Project

... A relatively successful decision depends on the features of a particular computer system. If the nodes of a multiprocessor computer are equipped with pipeline accelerators, it is reasonable to compute several dot ...

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LPI Radar Signal Generation and Detection

LPI Radar Signal Generation and Detection

... signal processing, correlation techniques and algorithms to overcome the processing advantage of the LPI ...signal processing algorithms require a large amount of computing speed and ...

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Automatic Detection of Brain Tumor Using K Means Clustering

Automatic Detection of Brain Tumor Using K Means Clustering

... medical image processing one of the most challenging tasks is study of Brain ...the image successfully using MATLAB. The aim is to introduce an algorithm employed for performing useful ...

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