- 更多网络例句与边缘检测相关的网络例句 [注：此内容来源于网络，仅供参考]
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With the advancement of science and technology, some new theories and new ways emerged gradually, some of them merged with specific theoretical tools, this specific theoretical tools include mathematical morphology, fuzzy techniques, neural networks, wavelet and so on. Secondly, in this paper, it described and analyzed the segmentation method based on the edge in the domain of image segmentation in detail. It did experiments on several edge detection operators using MATLAB, it summarized the advantage and the shortcoming of traditional edge detection operators, and the operating environment. On the basis of the experimental analysis, it implemented an edge location more precise, more efficient operating speed edge extraction method——Template Vector. In this method, it optimized differential approximate calculation of first differential operators the paper mentioned. After experimented on this edge extraction method, contracted with the traditional methods, the edge outline is extracted more accurately and more exquisitely, furthermore, it retained the object outline furthest, and achieved more satisfied edge extraction result.
其次，对图像分割领域中常用的基于边缘的分割方法进行了详细的研究与分析，对各种边缘检测算子进行了MATLAB环境下的实验，分析总结了各种传统边缘检测算子的优缺点和适应环境，并针对传统边缘检测算子在处理显微图像时的缺陷，在实验分析的基础上研究并实现了一种边缘定位更加精确、运算速度更加快捷的边缘提取方法——模板向量算法，在该算法中，对文章提到的一阶微分算子中微分的近似计算作进一步优化，经过对该边缘提取方法进行实验，其结果与传统方法相比，轮廓提取更为精确细腻，且最大程度的保留了图像中物体(目标个体或者明显噪声点)的轮廓，得到了比较理想的边缘提取效果。
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Its main tasks are to deal with binary images, gray scale processing, and the use of Sobel, Canny, Roberts, Laplacan operator of four digital image edge detection, the results show that: Roberts operator more precise positioning, but more sensitive to noise, Sobel operator son of gray-scale images with low noise gradient has a better detection of the effect of Laplacian can be detected in the vast majority of the edge did not appear at the same time the basic pseudo-edge, the edge can be precisely targeted, Canny operator is the traditional first-order differential operator in one of the best operator to detect the best edge detection, edges clear, make clear at a glance.
主要工作包括图像的二值处理，灰度处理，并运用Sobel、Canny、Roberts、Laplacan四个算子实现数字图像边缘检测，结果表明：Roberts 算子定位比较精确，但对噪声比较敏感，Sobel算子对灰度渐变低噪声的图像有较好的检测效果，拉普拉斯算子可以检测出绝大部分边缘，同时基本没有出现伪边缘，可以精确定位边缘，Canny算子是传统一阶微分算子中最好的算子之一，检测边缘检测的效果最好，边缘轮廓清晰，使人一目了然。问题补充：摘要英文翻译，不要在线翻译的，是在线等！急啊！！！！谢谢！！！！
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Its main tasks are to deal with binary images, gray scale processing, and the use of Sobel, Canny, Roberts, Laplacan operator of four digital image edge detection, the results show that: Roberts operator more precise positioning, but more sensitive to noise, Sobel operator Gradient gray son of low-noise images have a better detection of the effect of Laplacian can be detected in the vast majority of the edge did not appear at the same time the basic pseudo-edge, the edge can be precisely targeted, Canny operator is the traditional first-order differential operator in one of the best operator to detect the best edge detection, edges clear, make clear at a glance
主要工作包括图像的二值处理，灰度处理，并运用Sobel、Canny、Roberts、Laplacan四个算子实现数字图像边缘检测，结果表明：Roberts 算子定位比较精确，但对噪声比较敏感，Sobel算子对灰度渐变低噪声的图像有较好的检测效果，拉普拉斯算子可以检测出绝大部分边缘，同时基本没有出现伪边缘，可以精确定位边缘，Canny算子是传统一阶微分算子中最好的算子之一，检测边缘检测的效果最好，边缘轮廓清晰，使人一目了然。不要在线翻译的那种！在线等！！急！！！谢谢！！！
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The paper gives a detailed introduction to the classification and mothed of image edge detection from the traditional point of view,that is,the robert operator based on the maximum gradient detection,the sobel operator,the prewitt operator,the canny orerator,the laplancan operator based on the detection of second derivative of the zero-crossing point and then log operator.The paper makes a summary and analysis to the principles and applications,advantages and disadvantages of each algorithms and operators. Especially the canny operator.
本文首先介绍了图像边缘检测在国内外的发展，图像边缘检测的重要性及意义，阐述了图像边缘检测的原理，从传统的角度详细介绍了的图像边缘检测的分类及方法，即基于检测梯度最大值的robert算子，sobel算子，prewitt算子，canny算子，基于检测二阶导数的零交叉点的laplacan算子及log算子，对各种算法和算子的原理及用法及优缺点做了总结和分析尤其是canny算子。
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By comparing the common edge detection algorithms, the magniloquent Kirsch edge detection algorithm is selected to process the result of background subtraction. The result of edge detection is denoised by mathematical morphology method. Shadow edge restrained arithmetic and detection-line-based background updating method are presented. Shadow edge restrained arithmetic reduces vehicle shadow edge efficaciously. Background updating precision is improved by presented background updating method.
在处理过程中，对常用的背景差方法进行了改进，有效的保留了车辆目标信息；通过对常用的边缘检测方法比较，选用了突出边缘的Kirsch边缘检测方法对背景差后的图像进行了边缘检测；使用形态除噪算法对边缘检测的结果进行了噪声去除；提出了阴影边缘去除算法和基于检测线的背景更新方法，阴影边缘去除算法有效的抑制了车辆阴影边缘，背景更新方法则提高了背景更新的精度。
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Linear edge detection operator can implement the one to one mapping of edge detection operator to edge type, that is, one kind of edge detector can only detect one kind of edge.
线性边缘检测算子，只能实现边缘检测算子到边缘类型的一一映射，即一种边缘检测算子只能检测一种边缘类型。
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An algorithm of edge detection combined with morphological filter is proposed, firstly, it adopts adaptive method to decide the wimble structuring element and applies iterative morphological filter based on two wimble structure elements to filter the image, then uses multi-scale morphological edge detector to get multi-scale edges, and obtains the more ideal image edges under the environment of existing noise by integrating the edges of various sizes.
文中提出了一种结合形态学滤波的边缘检测算法，该算法采用自适应方法确定锥形结构元素，然后利用双锥形结构元素对图像进行形态学迭代滤波，对滤波后的图像进行多尺度形态学边缘检测，并将各尺度下边缘检测的结果进行合成，最终得到在噪声存在条件下较为理想的图像边缘，并且与其它边缘检测算法进行了对比实验，实验验证了该算法的可行性和有效性。
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The detection results of traditional edge detection method are fuzzing and sensitive to noise for convolution operation,and the detection results of morphological edge detection method are easy to lose edge information for various detection results.
针对传统的边缘检测方法因卷积运算造成模糊图像边缘，且对噪声敏感，各种形态学边缘检测方法因检测到的边缘信息类型不同而容易使边缘信息丢失，提出一种组合式抗噪型形态学边缘检测算子；并利用不同尺度的结构元素具有不同的图像边缘检测效果，进行形态结构元素的尺度调整，得到不同尺度结构元素下的图像边缘位置；然后进行加权合成来获得边缘图像；实验表明，与其他的传统或者形态学边缘检测方法相比，该文方法不仅具有更好的噪声抑制功能，而且其检测到的边缘轮廓更加清晰完整，边缘细节更加丰富。
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These results have some reference value for selection of these edge-detecting operators.
然而，边缘检测又是图像处理中一个困难的问题，因为实际图像中的边缘往往是各种类型的边缘以及它们模糊化后结果的组合，由于实际图像中存在着不同程度的噪声，各种类型的图像边缘检测算法不断涌现，但对于不同算法边缘检测结果的精度却没有一个统一的衡量标准。
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Then we sharpen the images with Laplace operator. In the course of edge detection, we detect images' edge by using Roberts operator, Sobel operator, Robinson operator, LoG operator and Canny operator, and compare the results of images' edge. The result shows, Canny edge detection operator precede other operators obviously.
在对图像进行边缘检测时，对经过预处理过的人脸图像分别用Roberts边缘算子、Sobel边缘算子、Robinson边缘算、LoG边缘算子、Canny边缘算子进行边缘检测，然后，对边缘检测算子进行了研究改进，并对检测结果进行了讨论比较，结果表明，Canny边缘算子的检测结果明显优于其它几个算子。
- 更多网络解释与边缘检测相关的网络解释 [注：此内容来源于网络，仅供参考]
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edge detection：边缘检测
形态学(morhpology) 原本系研究动值物形态的生物学门,但在影像方面,则用来专指抽取出影像中特定成份的技术. 在影像处理中,如影像分割(Segmentation),边缘检测 (Edge detection),细线化 (Thinning),骨架抽出(Skeletionizing)皆可说是形态学上的手段之一.
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edge detection filter：边缘检测滤波器
edge angle 棱角 | edge detection filter 边缘检测滤波器 | edge effect 边缘效应
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edge detection filter：边缘检测滤波器 縁辺検出
■ edge detection 边缘检测 縁辺検出 | ■ edge detection filter 边缘检测滤波器 縁辺検出フィルタ | ■ edge element 边缘元素 縁辺要素
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image edge detection：边缘检测
损伤检测:crack damage detection | 边缘检测:image edge detection | 相关检测:the correlation detection
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image edge detection：图像边缘检测
图像边缘提取:image edge detection | 图像边缘检测:Image Edge Detection | 图像边缘检测:Edge Detection of Image
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image edge detection：图像边缘提取
图像特征检测:Image Feature Detection | 图像边缘提取:image edge detection | 图像边缘检测:Image Edge Detection
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image edge detection：图象边缘检测
运动目标检测与跟踪:moving objects detection and tracking | 图象边缘检测:Image Edge Detection | 图像特征检测:Image Feature Detection
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the edge detection：边缘检测
边缘相关:Edge correlation | 边缘检测:the edge detection | 边缘增强:Edge enhancement.
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multi-scales edge detection：多尺度边缘检测
多尺度法:method of multiple scales | 多尺度边缘检测:multi-scales edge detection | 自陈式情绪智力量表:self-report scales of emotional intelligence
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Glossoscopy of TCM：边缘检测
中医疗法:Therapy of TCM | 边缘检测:Glossoscopy of TCM | 中医心理学:TCM psychology