再提取图像的边缘特征。
介绍了一种基于边缘特征的图像配准方法。
An image registration method based on edge features is presented.
该文提出了一种基于边缘特征的阴影边缘检测方法。
A novel shadow edge detection method based on edge feature is presented in this paper firstly.
提出了一种结合图像边缘特征来进行二值化的方法。
Put forward a kind of method which combines a picture edge a characteristic to carry on two values to turn.
实验表明该方法对于磨损图像的边缘特征提取是行之有效的。
According to the experiment, the method is an effective one for edge extraction of the abrasive image.
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.
南海是西太平洋地区最大的边缘海之一，其北部具有被动大陆边缘特征。
The South China Sea is one of the largest marginal seas in the western Pacific region, with its northern margin being characterized by a passive continental margin.
在图像处理中，对于复杂图像的边缘特征信息很难通过一个结构元素来提取。
In image processing, it is very difficult to withdraw complex image edge characteristic information through a multi-structural element.
验证图像时，需同时验证光滑特征和边缘特征，以确定图像内容是否被篡改。
When the image is verified, the smooth character and edge character are compared to confirm whether the content has been tampered.
本算法能够完全保留SAR图像边缘特征，同时对相干斑具有较好的抑制能力。
This algorithm can protect edge-characteristics of SAR image, along with a very good speckle reduction effort.
为了获得更多的图像细节信息，提出了一种基于边缘特征的遥感图像融合算法。
To obtain more image details, a remote sensing image fusion algorithm based on edge features was proposed.
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。
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.
最后应用神经网络，反复对边缘特征点进行拟合训练，得到平滑的边缘拟合曲线。
Finally, a smoothing fitting curves will be obtained by training of the edge feature using of neural networks.
如何从图像中提取人们需要的目标边缘特征，一直是图像处理中的一个难点和热点。
How to extract the edge character of target that is needed is a difficult and hot spot in the image processing.
本文研究了利用小波变换提取水下目标瞬态回波的边缘特征并进行目标分类的可行性。
The feasibilities of using wavelet transform to extract the edges of the echoes and then classify the targets based on the edge features have been studied in this paper.
实验结果表明本文方法能较好的表征缺陷的边缘特征，从而为缺陷源的识别奠定基础。
Experimental results indicate that the method in this paper can efficiently characterize the edge features of defects, consequently laid the g...
从匹配的结果看来，基于不同边缘检测方法得到的边缘特征图像，匹配的识别率是不同的。
According to matching results, the matching recognition ratio of edge character images based on different edge detection methods is different.
将视差光滑性约束应用于边缘特征上，提出了边缘连续性约束，这一约束能去除误匹配点；
We proposed figure continuity constraints by applying disparity smoothness constraint in the edges extracted by our algorithm, which can eliminate the error matching;
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 main contributions of this thesis are as follows:(1) An edge feature detection model based on gradient and phase (GP model) is proposed.
接着基于车辆的对称性特征，阴影和边缘特征对兴趣区域进行过滤，进一步缩小感兴趣区域；
Then filter the region of interest based on the symmetry, the shadow and the edge of the car and narrow the region of interest even more.
该方法根据所给定的物体和边缘特征信息将原始医学图象转换到模糊连通空间，获得模糊边界。
When given characteristic information about the desired object and its edge, the new algorithm transformed the original images into fuzzy connective space and extracted their fuzzy boundary.
实验结果表明，与已有的方法相比，该算法简单易行，且提取出的边缘特征具有较高的分辨率。
The experimental results indicate that the proposed algorithm leads to not only a significant computation speedup but also competitive quality in comparing with previous methods.
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。
A hybridized matching algorithm is proposed based on edge feature and correlation coefficient method after analyzing traditional grey-based algorithms and feature-based algorithms.
当跑道区域面积超过一定阈值时，通过采用搜索跑道边缘特征灯光的方法来识别跑道，准确性较高。
While the area of runway is big, the runway is recognized by the method of searching characteristic light of runway boundary.
融合后的图像不仅较好地保持了可见光图像的线条及边缘特征，还融合了SAR图像的点目标特征。
The fused images show the contribution of the optical image for discriminating lines and edges, while the SAR image provides an information on the detection of point targets.
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。
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.
提出了对图像数据进行一阶微分并求其局部重心点作为其边缘特征点，以提高测量稳定性和测量精度。
It gets the first order differential of the image data and acquires its local center of gravity as characteristics of the edge so as to improve the accuracy and stability.
为使图像处理结果具有较好的边缘特征，可将边缘区域和非边缘区域在逆半调的过程中分别进行处理。
Traditional lowpass filter would make the image edges blurred. So we have to process the edge area and the un-edge area independently.
实验结果表明，这个基于边缘特征检测算子的算法能很好地保留原图的边缘特征，并能处理低质量的图象。
The experiment shows that the new algorithm keeps the original edge features well and is efficient for processing low-quality image.
针对已抽取海岸边缘特征并二值化的电子海图和已提取海岸边缘特征并缩放至海图比例的实时雷达图像进行匹配。
The paper works with a binary electronic chart which has extracted the characteristics of coastal edge and a binary radar image which has been zoomed out in electronic chart at real-time.
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