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A REVIEW OF SPEED PERFORMANCE EVALUATION OF VARIOUS EDGE DETECTION METHODS OF IMAGES

机译:图像各种边缘检测方法的速度性能评估综述

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摘要

In image processing, edge detection is the essential process and the detection resultsdirectly affects the image analysis. Edge detection of an image minimizes appreciably the amount of dataand discards information that are less important, keeping the important structural properties of animage. In this paper, various spatial domain edge detection approaches are discussed and theirperformance are compared on the basis of edge continuity and speed of operation, by using some imagesof different features. Edge detection algorithms basically works on gray levels of pixels, it is utilize totrack targets, to compress data, in face recognition, in counterfeit detection of fake bills, in image analysisand in medical imaging.
机译:在图像处理中,边缘检测是必不可少的过程,检测结果直接影响图像分析。图像的边缘检测可最大程度地减少数据量,并丢弃不太重要的信息,从而保持图像的重要结构特性。本文讨论了各种空间域边缘检测方法,并通过使用一些具有不同特征的图像,在边缘连续性和操作速度的基础上比较了它们的性能。边缘检测算法基本上在像素的灰度级上起作用,它用于跟踪目标,压缩数据,面部识别,伪钞伪造检测,图像分析和医学成像。

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