查询词典 edge detection

A fast extraction method of beer bottle rasied character is introduced in this paper. It is the technique combination of moving target tracking based on dynamic image sequence with edge detection algorithm for speeding up the processing of character extraction to meet the demand of on-line detection in industry. First dynamic image sequence is obtained with an area CCD camera, and the background frames are detected based on the coherence between the background and character image from the video and inevitability of background frames emergence.

运用基于动态图像序列的运动目标跟踪技术，结合图像边缘提取理论中的检测算子模板，提出了一种快速提取啤酒瓶凸性字符的方法：首先采用单个面阵CCD得到啤酒瓶字符的运动图像序列，然后利用背景在运动图像序列中的镜头突变性和出现的必然性，检测视频流中的背景帧，最后采用基于边缘检测的背景配准方法，得到运动图像和校正背景图像的差分图像，恢复出真正的运动物体。

This paper introduces a method of edge detection. By comparison with topography, it is found that the character of edge of image shows the same valley's character as relief map.

利用图象边缘轮廓呈现的一种沟壑性质，开发了一种通过求象素亮度的极值来进行边缘检测的方法。

Department of Computer Application Engineering,Shenzhen Polytechnic,Shenzhen 518055,China）Abstract: In order to advancing measurement precision of bolt and decreasing supposititious edge pairs in image procession, the arithmetic of edge detection is improved.

摘 要：为了提高紧固件尺寸的自动测量精度，针对图像处理中边沿检测容易出现虚假边沿的问题，对边沿检测算法进行了改进。

Automatic threshold choice is difficult and important to color images edge detection, First of all, on the base of human visual properties, threshold versus intensity function of human visual system are researched and analyzed, by using method of mathematic modeling and the result of saturation research, function of least color difference that can be perceptible by visual systems in detecting edge is given.

摘要自动阀值选取是彩色图像边缘检测的难点和关键问题，首先从人类的视觉特性出发，分析了人类视觉系统的亮度感知门限函数，利用数学建模方法和色度学方面的研究成果，给出人类视觉系统对彩色图像边缘所能识别的最小彩色差函数。

First, we carry on the pretreatment to the original license plate image; then,detect the car licence edge with one anti-chirp mathematics morphology edge detection operator; finally, remove the horizontal noise of car licence mage and union horizontal, vertical positioning projection for locating the car licence.

首先，对原始车牌图像进行预处理；然后，利用一种抗噪型数学形态学边缘检测算子进行车牌边缘检测；最后，去除图像水平噪声，结合水平、垂直投影进行定位。

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。

The ordinary edge detection methods such as Sobel and Canny operators are immune to noise, which result in cophasal axes discontinuity due to lack of edge information caused by noise.

由于边缘检测中常用的Sobel算子和Canny算子检测同相轴时对噪声免疫差，常因噪声因素引起边缘信息缺失导致同相轴提取不连续，本文采用中值滤波并对Sobel算子进行改进，对地震剖面图进行预处理，结合均方差自动确定阈值并进行异常检测，提取完整同相轴。

Most traditional algorithms of image edge detection use gradient maximum or zero-crossing based on gray discontinuousness on edge. They are affected easily by noise.

传统的边缘检测算子大都基于边缘的灰度不连续性，利用梯度局部最大值或二阶导数过零点来检测边缘，容易受噪声干扰。

Blood speckle noise in the IVUS image would affect the validity of edge detection badly. A temporal/spatial filtering method was used to preprocess the IVUS image to restrain the noise. Then a method to automatically detect the intima and ectoblastic edge of IVUS image was presented. This method is based on the active contour model and the contrast properties of IVUS image, which makes use of the Hopfield NN and simulated annealing algorithm.

为解决血管内超声图像中严重的血液斑点噪声影响边缘提取方法的有效性问题，采用一种时/空滤波方法对IVUS图像进行降噪预处理，基于活动轮廓模型和IVUS图像的边缘对比度特征量，利用Hopfield神经网络并结合模拟退火算法自动提取IVUS图像的冠脉血管壁内、外膜边缘。

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。

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。