Real Time Hardware Software Co-SimulationEdge Map Accumulation Based FeatureExtraction

A. Wagh, M. Wankhade
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Abstract

There are many applications like automotive vehicle control, video surveillance, remote gesture control etc. for which high speed image processing employing high frame rate image sensors provide details on motion which is useful for improving the speed and precision of the recognition. Therefore, the proposed system presents that the VLSI is capable for extracting motion features from moving images. The extraction of motion features from moving images is developed by using row parallel and pixel-parallel architectures. This system proposes a novel fast texture feature extraction method which takes advantage of the similarities between the neighbouring pixels to estimate texture values. Here, firstly by using FPGA and MATLAB edge detection and mapping take place.The feature extraction and the filtering process can be done through the MATLAB.
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基于边缘图积累的实时软硬件协同仿真特征提取
在汽车控制、视频监控、远程手势控制等应用中,采用高帧率图像传感器的高速图像处理提供了运动细节,有助于提高识别的速度和精度。因此,该系统表明VLSI能够从运动图像中提取运动特征。采用行并行和像素并行的方法对运动图像的运动特征进行提取。该系统提出了一种新的快速纹理特征提取方法,利用相邻像素之间的相似性来估计纹理值。在这里,首先利用FPGA和MATLAB进行边缘检测和映射。特征提取和滤波过程可以通过MATLAB来完成。
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