Sub pixel matching is carried out by superposing edge feature on image.
同时，采用特征与影像叠加进行了亚像素匹配。
A novel shadow edge detection method based on edge feature is presented in this paper firstly.
该文提出了一种基于边缘特征的阴影边缘检测方法。
The main contributions of this thesis are as follows:(1) An edge feature detection model based on gradient and phase (GP model) is proposed.
本文的主要贡献如下：（1）提出了梯度和相位信息相结合的边缘特征检测模型—GP模型。
The edge feature extraction of images has always been one of the most important and the most basic research tasks in the field of computer vision.
图像的边缘特征提取一直是计算机视觉领域里最重要的和最基本的研究任务之一。
A new method of adaptive threshold selection is proposed which combines the edge feature of the color image based on the theory of mathematical morphology.
提出了一种自适应图像二值化方法，它基于数学形态学理论，求取彩色图像边缘特征，并将它与灰度直方图二值化方法相结合。
Aiming at the disadvantage of fuzzy image, by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm, two images registration is achieved.
针对模糊图像的弱点，分析了通过增强象素模糊属性对比度来提取边界特征的基本原理，实现了两幅图像的配准。
A hybridized matching algorithm is proposed based on edge feature and correlation coefficient method after analyzing traditional grey-based algorithms and feature-based algorithms.
分析了传统的基于灰度和基于特征的匹配算法，提出了一种基于边缘特征和相关系数的新匹配算法。
The fourth chapter discusses in detail a novel method for edge feature detection of images based on wavelet decomposition and reconstruction by means of interval biorthogonal wavelet.
第四章详细地讨论了利用区间双正交小波，根据小波分解和重构来提取图像的边缘特征的一种新方法。
Because Edge is currently only in preview-stage, it's bound to have some bugs and feature limitations.
由于EDGE目前只在预览版，必然有一定的缺陷和功能的限制。
The MacOS 8.0 programmers probably thought they were adding a cool new feature when they let you move Windows by dragging any edge.
而MacOS 8.0的程序员可能认为让你拖动边界去拖动窗口也是一个很cool的新功能。
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.
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。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
One kind of local adaptive smoothing feature enhancement and edge detection algorithm is given.
提出了一种局域自适应平滑特征增强和边缘提取算法。
Methods We put forward trailing algorithm through analyzing the feature for the handwriting number, combining the concept of edge element, scanning and trailing handwriting trace.
方法通过对手写体数码的特征分析，结合边沿元的概念，对书写轨迹进行扫描跟踪，提出跟踪算法。
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.
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。
Image edge is an important feature in object recognize, image understand and image retrieval.
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。
Considered the linear feature of runway, an effective algorithm of runway recognition based on edge map was presented.
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。
And regarding Lipshitz exponents as feature parameter, it analyses image edge types.
以利普斯指数为特征参数对图象边缘类型进行了分析。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
According to features of edge gradient maps of face images, a new eye feature extraction algorithm based on gradient vector flow field was proposed.
根据人脸图像的边缘梯度图提出了一种新的基于梯度向量流场的眼睛特征提取方法。
Based on feature edge identification, a practical simplification method is proposed for closed and non-smooth polyhedral model.
提出了基于特征边识别的实用的非光滑封闭多面体模型的简化方法。
As a novel biometric authentication technology, human ear recognition needs to solve the problems of image processing such as edge detection and feature extraction.
人耳识别作为新的生物特征识别技术，首先要解决作为基础的边缘检测和特征提取等图像处理方面的问题。
We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.
然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想，以及特征矢量的构成方式和归一化方法。
Owing to the difficulties in extracting iris edge image, a new iris location algorithm using geometric symmetry feature and edge detection from gray scale image is presented.
针对虹膜二值边缘图像提取的困难，提出利用虹膜图像的灰度边缘图像以及虹膜的几何特征进行虹膜定位的快速算法。
Because the images edge can be affected by noise more easily than the region feature, defect region - detection is proposed by combining mathematics morphology and optimal threshold method.
鉴于图像边缘特征易受噪声影响，而区域特征受噪声影响要小得多，提出利用数学形态学和最佳阈值分割相结合的方法来实现缺陷区域提取。
Objective To study the manifestation feature for breast cancer focus's edge echo image.
目的探讨乳癌病灶边缘回声图像表现特征。
Because the images edge can be affected by noise more easily than the region feature, defect region-detection is proposed by combining mathematics morphology and optimal threshold method.
鉴于图像边缘特征易受噪声影响，而区域特征受噪声影响要小得多，提出利用数学形态学和最佳阈值分割相结合的方法来实现缺陷区域提取。
According to the feature of ear and its position on the side face a method based on edge-tracking was adopted for human ear localization and extraction from side face images.
根据外耳及其所在位置的特征，提出了一种从侧脸图像上准确定位并提取出人耳的新方法。
Edge constrain strategy is used to reduce the search region of each feature point.
加入了边缘约束策略，减小了特征点目标搜索的区域。
The edge is also an important feature of the image and its detection results directly affect the SAR image recognition and analysis.
而边缘也是图像的重要特征，其检测效果直接影响SAR图像的识别和分析。
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