边缘的

In addition, combined with Hough transform of Iris outer boundary, an improved Canny operator was designed to detect edge only in vertical direction.

其次对传统的Canny边缘检测算子进行改进，使其只在垂直方向上检测边缘，并结合Hough变换定位外边缘。

This paper studies the causes of noise sensitivity and edge coarseness using usual edge detection presently.

针对目前常用的边缘检测方法对噪声比较敏感，测得的边缘比较粗糙等现象，在传统边缘检测方法的基础上提出了一种基于数据融合的边缘检测方法。

At last, the application of the algorithm proposed to image edge detection and comparative experiments show that the algorithm have great ability of detection the fuzzy edge and exiguous edge.

最后将该算法应用到图像边缘检测，对比实验表明，该算法具有很强的模糊边缘和微细边缘检测能力。

The algorithm adopts classical bilinear interpolation algorithm in the area of image other than the edges;concurrently the stairway detection is further made according to the outcomes of Canny edge detection to sift out the horizontal and vertical edges which will not produce jaggies distortion;but in edge areas where severe jaggies distortion will occur when using classical algorithm,the stairway thinning-based interpolation algorithm is implemented.This interpolation algorithm keeps stairways from being enlarged when zooming out the image,hence the goal of reducing jaggies distortion is achieved.

该算法在图像的非边缘区域采用经典的双线性插值算法；同时根据Canny边缘检测的结果，进一步进行阶梯检测，滤除不会产生锯齿失真的竖直和水平边缘；而在使用经典算法会产生严重锯齿失真的边缘区域，运用基于阶梯细化的插值算法；该插值算法在放大图像的同时，抑制边缘中的阶梯被放大，从而达到减少锯齿失真的目的。

The edge pixel is processed by Partial Differential Equation. PDE enhances edge and smoothes jaggies in the edge. The pixel in smooth regions of under-interpolated image is processed by Non Local-means model. NL-means model gets gray value of pixel by weighted averaging global information in image and image is smoothed.

使用偏微分方程处理边缘像素，锐化边缘同时平滑边缘块状效应；平滑区域像素点的插值操作使用非局部均值模型，非局部均值模型通过对原始图像全局信息加权平均得到待处理图像像素值，图像平滑。

This paper gives a method of image edge detection,using multiple edge features and fuzzy reasoning.To effectively extract edges,edge pixels are classified according to the difference of intensity distribution,and multiple effective edge features are defined.

图像边缘检测的传统方法一般仅基于边缘邻域的一阶或二阶导数这一单一特征，并且对模糊边缘图像不敏感，针对此问题，本文提出基于多特征和模糊推理的边缘检测算法。

KONG Xiang-wei,XIE Cun,XU Wei-ran(School of Electronic and Information Engineering,DUT,Dalian 116023,China)Abstract: This paper gives a method of image edge detection,using multiple edge features and fuzzy reasoning.

摘 要：图像边缘检测的传统方法一般仅基于边缘邻域的一阶或二阶导数这一单一特征，并且对模糊边缘图像不敏感，针对此问题，本文提出基于多特征和模糊推理的边缘检测算法。

The edge effect of orthopteran communities were studied among three types of edge zones in this region.

本文还选定吴起最为常见和主要的三种边缘地带，分析了直翅目昆虫群落在边缘处的多样性变化、边缘效应强度和种群的边缘反应类型。

Because the proposed model has the property of multi-scale, the excellent anti-noise in the interior of the region, and the noise weakening faintish edge, the corresponding algorithm has good performance in image edge detection.

该模型具有多尺度、区域内部抗噪能力与尺度有关、噪声弱化弱边缘以及边缘具有隶属度、图像的边缘检测结果与尺度有关等特点，反映了边缘与纹理依尺度的关系。

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。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。