图像边缘识别是图像处理的重要组成。
Image edge recognition is an important part of image processing.
综合运用阈值分割、边缘识别和像素标记法等图像识别技术，通过图像得到每个模型的相关定位信息。
By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image.
总之，本文针对当前目标边缘识别领域主流方向之一的强度对比大的多目标边缘识别作了有益的探索。
In a word, we have made a lot of fruitful attempts and significant progress on recognition of the multi-objective of which one or more is week contrasting to others.
给出了对CCD信号进行边缘识别的微分算法和将线阵CCD信号进行组合，恢复出二维图像信号的算法。
The differential algorithm for edge recognition of CCD signal and the algorithm for combining the linear array CCD signals to restore the 2-d image signals are given.
在测试流程时，这些边缘条件必须得到识别和测试。
As the process is tested, it is essential these edge conditions are identified and tested.
通过配置系统，让它能够识别边缘服务器。
任务1：通过配置识别边缘服务器。
经Peiris团队研究发现，此“遗迹”有些可识别的特征，比如它们往往具有明晰的边缘和对称的形状。
According to Peiris's group, the imprint would have certain recognizable features, such as distinct edges and symmetrical shapes.
印刷设计师们总是倾向于衬线字体，因为这种字体边缘明显，提高可视效果，使字形更容易识别。
Print designers have always favored serif fonts because the edges improve visibility and make letterforms easier to recognize.
第一个任务是配置您的系统，让它能够识别Akamai边缘服务器。
The first task is to get your system configured so that it recognizes the Akamai edge servers.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
为了提高图像的清晰度使之更适合于人的视觉特性或机器的识别，需要对图像的特征或边缘进行加强。
Reinforcing the edge and features of the image can make it clear to human vision character or recognition for machine system.
图像的边缘作为模式识别、计算机视觉、制导等领域的重要特征越来越受到广大研究人员的高度重视，有着广泛的用途。
Image edge has become the important character to pattern recognition, vision of computer, homing etc. And it has been paid more attention, which has broad use.
边缘检测是图像分析识别必不可少的环节，是一种重要的图像预处理技术。
Edge detection is an essential step in image analysis and recognition, and it is an important technology in the image preprocessing procedure.
数字图像的边缘检测是图像分割、目标区域识别、区域形状提取等图像分析领域中十分重要的基础。
Figure image edge detection is very important basis in image -division, identify object zone, pick-up zone shape.
图像的边缘是图像最基本的特征。进行了图像分割、模板匹配和图像识别等方面的研究，无不例外都会使用到图像的边缘。
The edge of image is the fundamental character of image, which is used to make segmentation of image, shutter-match and discern of image.
在对SAR图像的分析和识别中，边缘的检测信息十分重要。
The edge detection of SAR is very important for image analysis and recognition.
图像边缘是目标识别、图像理解及图像检索中常用的一个重要的特征。
Image edge is an important feature in object recognize, image understand and image retrieval.
提出了一种具有抗噪性能的二值图像边缘跟踪算法，并将其应用在掌纹识别中。
An edge tracing algorithm based on binary image and its application on palm recognition is introduced.
方法中采用基于类椭圆边缘属性对特征区域进行自动识别，采用最小二乘椭圆拟合精确求取类椭圆亚像素定位中心。
In the method, the automatic identification of feature area is fulfilled based on the edge attribute, and the sub-pixel center location is accomplished with the least-square approach.
红外图像的边缘检测是红外图像目标识别以及进一步红外故障诊断的关键环节。
Infrared image edge detection is the key step of infrared image object identification and fault diagnosis.
针对机场跑道的直线段特征，提出了一种有效的基于边缘图像的机场跑道识别算法。
Considered the linear feature of runway, an effective algorithm of runway recognition based on edge map was presented.
在对车型识别去噪和边缘检测进行分析的基础上，提出了一种基于反对称小波的检测方法。
On the basis of the analysis of denoising and edge detection of vehicle recognition, this paper proposes an effective detection method based on anti-symmetrical wavelet.
数字图像的边缘检测在图像分割、模式识别、机器视觉等中有很重要的作用。
The edge detection of numeric picture has a very important function in the image segmentation, pattern recognition, and machine vision and so on.
通过改进其投影方向来减轻边缘类对特征分解的主导作用，从而提高了识别效率。
Through improves its projection direction to reduce the edge class the leading role which decomposes to the characteristic, thus enhanced the recognition efficiency.
精确检测图像边缘特征是进行高分辨率遥感图像分割和识别的关键。
Phase Congruency was introduced as a new method to detect features from high-resolution remotely sensed imagery.
实验结果表明，此方法能够较好地完成红外图象的边缘检测任务，从而为红外目标识别打下良好的基础。
The experimental results show this algorithm can fulfill the task of edge detection of infrared image nicely, which founded a good basis for registering infrared targets.
最后，在虹膜识别装置上进行虹膜图像的噪声处理和虹膜图像的内边缘提取工作。
The last, the paper achieves the noise disposal of the iris image and the interior edge pick-up of the iris image.
为实现对胶片弊病的实时识别，提出了一种正交边缘投影快速检测算法。
A fast orthogonal edge projection algorithm is proposed for real-time inspection of film defects on production line.
边缘是人类视觉识别图像目标的重要特征。
The edge is the important feature that human vision recognizes image target.
应用推荐