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sobel中文是什么意思

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  • 例句与用法
  • Then the markov random fields ( mrf ) theory was used to segment target df active illumination by light and sobel - transform information in this article . to make mrf algorithm suitable in actual setting , some technologies were analysis to make extracting steady . according to the analysis of laser beam through atmosphere turbulence , we found that : 1
    其次,围绕目标的特征提取问题,文中讨论了含噪照明目标图像的分布特点,并从亮度和边缘变化方面对照明光束远场特征进行了分析和归纳,提出采用基于mrf理论对照明目标分割来提取目标形心特征的方法。
  • A sobel edge operator and an edge detection algorithm based on cp neural network was employed in this thesis , to achieve image processing of target digital images collecting from static explosion test of fragment warhead , and exactly detecting and analyzing of target fragments numbers , and also the ratio of perforation of fragments from the test , through which more accurate tactics performance characters can be obtained for warhead lethality assessment
    本文采用sobel边缘算子和一种基于cp神经网络的边缘检测方法,对破片战斗部静爆试验后所采集的目标靶板数字图像进行了图像处理,实现了对目标靶板破片数量及破片穿透率试验统计数据的准确检测与分析,为破片战斗部杀伤威力评估提供了较为精确的技战术指标。
  • A new binary fuzzy rough sets model based on triangle modulus is discussed , and its application in image edge - detecting and noise eliminating shows better affect than classical edge - detecting operators , such as sobel , prewitt , rorbets and so on . in addition , compared with the classical mathematical morphology , a new mathematical morphologic algorithm based on rough sets not only ensures continuity of the edge , but also renders the edge thin
    结合模糊集,本文还研究了模糊粗糙集模型在图像处理中的应用,提出一种基于t模的二元模糊粗糙集模型,并将该模型应用到图像边缘检测和去噪方面,取得了比sobel等经典算子较好的效果,在一定程度上改进了经典边缘检测算法对低对比度边缘检测不明显的问题。
  • After studied for several decades , there have appeared several classical edge operators , such as roberts , sobel , laplacian , canny and log . meanwhile , there also have presented several classical algorithms of image restoration , such as inverse filter , wiener filter and constrained least squares filter
    经过多年的研究,已经形成了roberts算子、 sobel算子、 laplacian算子、 canny算子、 log算子等经典的边缘检测算子以及逆滤波、维纳滤波、约束最小二值滤波等经典的图像恢复方法。
  • Detaching the wear region and background , caculating the threshold value is 151 , 147 , 118 taking overlap method and maximum dispersion method of high - load small particle abrasive wears low - load big particle abrasive wear and adhesive wear , then processing edge detection and skeleton map with classical sobel and gauss - laplace and kirsch arithmetic operators of template matching method , making the shape skeleton produced by different wear mechanism embodied cleared . and analysing the trait of shape skeleton
    然后应用边缘检测的经典边缘检测算子sobel算子、 gauss - laplace算子和模板匹配法中的kirsch方法对图像进行边缘检测以及轮廓提取,使这三种磨损形式的不同磨损机制所产生的形状轮廓得到清晰地体现,并结合磨损机制分析形状轮廓的特点。
  • There are many methods of edge detection . according to practical task , we choose some classical methods of edge detection including first differential ( roberts operator , sobel operator and prewitt operator ) , second differential ( laplacian operator and kirsch operator ) , log filter and canny operator . they are studied in theory and practice applying
    边缘检测有很多方法,根据课题实际背景,选择了几种比较经典的边缘检测方法,即一阶算子( roberts算子、 sobel算子、 prewitt算子) 、二阶算子( laplacian算子和kirsch算子) 、 log算子和canny算子,对他们进行理论和实际应用研究。
  • This paper studies to get the image of thenar by using a video camera , and carries on the necessary image processing by software with the information captured , and gets the ideal image to provide the image data basis for follow - up cad after the processing such as median filtering , sobel or kirsch ' s operator edge detection , image reversal and image enhancement etc . in this paper , the pressed image information of thenar captured by camera have been carried on processing and analyzing , and the result has been compared with that of image acquired by the scanner
    本文研究了利用摄像头获取脚底图像,再通过软件将所获信息进行必要的图像处理,经中值滤波、 sobel或kirsch算子边缘检测、亮度调整及反置、图像增强等处理后,得到满意的图像为后续的cad提供图像数据依据。本文对摄像头采集的足底受压图像信息进行了处理和分析并与扫描仪的图像处理结果进行了比较,由结果得知摄像头输入方法是一种简单实用的输入方法,且能很好的满足设计要求。
  • On the base of introducing basic theories about image fusion , the article narrates the methods and technical development of image fusion . in allusion to pixel - level fusion , the algorithm of image registration is studied and the method of image characteristic registration based on sobel quick edge - detection is presented
    本文在介绍图像融合基本理论的基础上,简述了图像融合的方法及技术发展,针对像素级的图像融合研究了图像配准的方法,提出了基于sobel快速边缘检测的特征配准方法。
  • The main works are described as follows : ( 1 ) we have summarized the latest research achievements and development of fractal theory and the applications in image processing domain and discussed and studied the definition , principle and algorithm of fractal and fractal dimension ; ( 2 ) aiming at the disadvantages of dfbr based edge detection method , an algorithm based on fractal intercept feature was put forward ; moreover , aiming at the bad anti - noise performance of traditional methods , a edge evaluation method was introduced to evaluate the performance of the algorithm and that of sobel - based algorithm quantificationally ; ( 3 ) furthermore , we proposed a novel method based on slope feature and intercept feature , then compared the performance with that of intercept - based method
    通过对近年来国内外学术界对分形理论及其在图像处理领域相关应用问题的研究成果和最新进展的搜集、整理和总结,对分形及分形维数的定义、原理、算法以及在图像处理上的应用进行了较为系统的研究和探讨; 2针对基于dfbr场边缘检测典型算法的缺点,采用了一种基于分形截距特征的图像边缘检测算法,取得了较为满意的结果;并针对传统方法抗噪性能差的缺点,引入一种基于参照图的边缘评价方法,并对此算法性能与传统sobel算法进行定量分析对比,实验证明该算法是有效的; 3
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