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edge detection相关的网络例句

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与 edge detection 相关的网络例句 [注:此内容来源于网络,仅供参考]

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。

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!!!!

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!!!

For large amounts of images edge detection, this algorithm is simple but very effective. It can effectively eliminate noise and accurately detect the edge information, and it can also maintain good goal edge connectivity, which is a good method of edge detection.

从算法对大量图像边缘检测的结果看,这种算法虽然简单但效果很好,既能有效消除噪声影响,准确地检测边缘信息,又能较好地保持目标边缘的连通性,是边缘检测的一种很好的使用方法。

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。

In order to get anti-noise and good localization image edges, a new fuzzy multi-scale edge detection algorithm is presented in this paper. Firstly, multiple edge images under different scales are acquired by the optimal linear filter for Demigny's criteria.

工业技术能源与动力工程模糊多尺度边缘检测方法的研究与应用硕士边缘检测;最优滤波器;平滑滤波器;模糊多尺度; edge detection;optimal filter;smooth filter;fuzzy multi-scale;为了获取抗噪性强、定位准确的边缘,本文提出了模糊多尺度边缘检测算法。

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。

A novel method for image edge detection is presented based on information measurement and Support Vector Machine, which is called ISEDM (Information measure and support vector machine edge detection method).

将信息测度和支持向量机结合在一起,提出了一种新的图像边缘检测方法(information measure and support vector machine edge detection method, ISEDM)。

According to the meteyard of edge detection and consulting the design-aim of optimal edge-filter, this paper discussed the general rules of selecting the mother function of wavelet used in edge detection, then constructed a quadric B-spline wavelet and presented a method of adaptive thresholds edge detection for image based on wavelet transform.

根据边缘检测的评价标准,参照最佳边缘滤波器的设计要求,确定选择用于边缘检测的小波母函数的一般准则,并在此基础上构造出二次B样条小波,提出了基于小波变换的自适应阈值图像边缘检测的新方法。

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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