sobel算子的英文

• sobel operator

• "算子"英文翻译    operator
• "sobel" 英文翻译 :    索贝尔; 索算子
• "sobel operator" 英文翻译 :    sobel算子; 索贝尔算子
• "算子" 英文翻译 :    operator 微分算子 differential operator
• "逆算子, 反算子" 英文翻译 :    inverse operator
• "canny算子" 英文翻译 :    canny edge detector
• "householder算子" 英文翻译 :    householder transformation
• "Μ算子" 英文翻译 :    Μ operator
• "伴算子" 英文翻译 :    adjoint operator
• "闭算子" 英文翻译 :    [数学] closed operator
• "波算子" 英文翻译 :    [数学] wave operator
• "卜算子" 英文翻译 :    song of divination
• "反算子" 英文翻译 :    inverse operator
• "复算子" 英文翻译 :    complex operator
• "负算子" 英文翻译 :    negative operator
• "核算子" 英文翻译 :    nuclear operator
• "或算子" 英文翻译 :    or-operator
• "角算子" 英文翻译 :    angular operator
• "紧算子" 英文翻译 :    kompakter operator compact operator
• "面算子" 英文翻译 :    face operator
• "模算子" 英文翻译 :    modular operator
• "拟算子" 英文翻译 :    quasi-operator
• "逆算子" 英文翻译 :    inverse operator
• "强算子" 英文翻译 :    majorant operator
• "矢算子" 英文翻译 :    vector operator

• Experimental results obtained from sar images confirm that the proposed approach can bring an improvement , as compared to the sobel , laplacian
  实验结果表明,对于sar图像来说,本文提出的方法优于sobel算子、 laplacian算子。
• A new multi - orientation linear edge detection method based on 24 - bit color image is proposed , which is based on prewitt operator and sobel operator
  在prewitt算子和sobel算子的基础上，提出了一种新的基于24位彩色图像的多方向线性边缘检测方法。
• Comparing with the sobel operator and the imaging the theory of ccd array gets the better edge detection image edges are computed by the edge detection of the ccd array
  比较图像边缘检测sobel算子及电荷耦合器件ccd角度考虑的两种算法，选取了一种精度较高的边缘检测的算法。
• After the study of the traditional algorithms of feature extraction and boundary tracking , the edge detection method based on combination of - correction and sobel edge operator has been realized
  对于图像的特征提取和图像分割，论文在对传统的边缘提取和轮廓跟踪算法进行研究之后，提出了校正和sobel算子相结合的边缘提取算法。
• Because the actual work environment of the mobile robot is complexity , on the base of analysis of several edge extract operators , the sobel operator has been selected to accomplish the edge extract in this thesis
  根据移动机器人的工作环境比较复杂的情况，在分析比较了几种常用的边缘提取算子的基础上，本文选择了sobel算子进行了边缘提取。
• Median filtering is chosen to modify the fuzzy edge by using the smoothing arithmetic , sobel operator is used to detect edge because of its filtering characteristic . image is changed from gray - scale to two - valued according to the threshold which is automaticly selected by otsu
  选用中值滤波减小平滑算法导致的边缘模糊;利用有滤波特性的sobel算子进行边缘检测;使用最大类间方差自动确定阈值,将灰度图像转化为二值图像。
• This paper study the greedy snake algorithms for the clutter tracking . it introduce the energy function of basic snake model and analyze the different kind of snake discrete energy function . it study on the method which use the pretreatment combining the sobel and grads arithmetic operators . the astringency of snake external energy was satisfied . this paper analyze the influence of tracking precision and running time for the preliminary border width , it also study on the tracking effect of different distributing and intensity . it is important to the next work
  针对杂波数据的强度起伏大的特点,提出了结合sobel算子和梯度算子的预处理方法,满足了贪婪snake外部能量的收敛要求,在真实数据和仿真样本条件下,分析了初始边框间隔对跟踪精度、运行时间的影响,以及不同分布、不同强度杂波样本的跟踪效果,为后续的工作打下基础。
• 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。
• Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years . it has a lot of applications in virtual reality , smart surveillance system , advanced user interface , motion analysis and video compressing , etc . this paper focuses on the technology of human motion tracking based on video , first , we make a summarization of the domestic and overseas status of the research in this field . on the basis of this , we analyse the technical difficulties of human motion tracking . as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention , and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs , this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences , in which we analyse the features of walking people , track the five joints of lower limbs , get various parameters , and then re - construct the walking process . the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton . first we divide the video into continuous image sequences , after background subtraction , the satisfying human region could be extracted , then we get a single - connected region by converting the rgb image to binary image and median filtering . afterwards , the contour of lower limbs in the frame with a widest boundingbox is detected , using sobel operator , to find the ankle joint of leg behind according to the features and rules of walking , then , the joint of knee of leg behind , hip , ankle of leg in front , knee of leg in front could be got in turn . so , model of leg skeleton is constructed
  首先将视频分解成许多连续的静态图像帧,经过背景去除,把感兴趣的人体区域提取出来,通过二值化,中值滤波等预处理方法得到只有人体的一个单连通区域,然后用sobel算子检测出boundingbox最宽帧中人体下半身的轮廓,根据运动规律及特征找到后腿踝关节点,结合从boundingbox最窄帧中所获取的腿长依次得到后腿膝关节,跨部关节,前腿踝关节,前腿膝关节四点,从而构建出腿部骨架模型。 2 )实现了人体步行腿部骨架的跟踪算法。在完成对腿部骨架模型的自动初始化之后,本文对跨关节、膝关节及踝关节分别采用运动建模、圆周相交定点算法、运动预测及预测点周围搜索rgb相似矩形块三种方法确定每一帧中其实际坐标,从而重构出腿部骨架的运动过程。