SAR image edge withdrawing is a important content of image proceesion.
SAR图像的边缘提取是其图像处理的一项重要内容。
Ths paper presents a method of the image edge extraction based on fractal theory.
提出了一种基于分形理论的图像边缘提取的方法。
Infrared image edge detection is one of the difficult problems in image processing.
红外图像的边缘检测是图像处理领域的难题之一。
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。
Infrared image edge extraction is the important technique basis of image interpretation.
红外图像的边缘提取是其判读和识别的重要技术基础。
The color vector Angle histogram is constructed in the image edge and used to describe the image.
在图像的边缘空间，提取图像边缘点的颜色矢量角直方图，以此来描述图像的内容。
This paper puts forward a novel algorithm of image edge detection based on grey prediction theory.
提出了一种基于灰预测理论的边缘检测新方法。
A method for detecting the image edge of V-groove and calculating the welding deviation was presented.
提出了一种V型坡口光纹提取以及计算焊接纠偏量的方法。
These algorithms have better performance than classical restoration algorithms in image edge-preserving.
这些算法在复原图像保边缘方面比经典复原算法有更好的表现。
May all the work in this paper is of some value to research and applications in the image edge detection.
相信本文的工作对图像处理中的边缘检测方法研究以及应用有一定的参考价值。
Infrared image edge detection is the key step of infrared image object identification and fault diagnosis.
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。
It is very important to locate the position of image edge precisely using the method of image measurement.
在图像测量方法中，精确地确定图像的边缘位置极为重要。
Based on mathematical morphology of multi-structure element, an algorithm of image edge-detection was proposed.
提出一种基于多结构元素的数学形态学图像边缘检测算法。
The four orientation information can be detected with the improved algorithm, and the image edge can be thinned.
利用这种改进算法，能够同时检测出四个方向的图像边缘，并可以对图像边缘进行细化。
Figure image edge detection is very important basis in image -division, identify object zone, pick-up zone shape.
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。
Authors introduce a new algorithm which can normalize digital images with image moments and image edge detection.
介绍了一种综合利用图象力矩及图象边界提取等方法来实现对数字图象的大小归一化的算法。
This paper applies mathematical morphology theory to present a new algorithm for grey scale image edge detection.
本文用数学形态学的理论，提出了一种新的灰度图象边缘检测算法。
This paper introduces a multi -directions algorithm for image edge detection based on fuzzy mathematical morphology.
本文提出了一种多方向模糊形态学边缘检测算法。
At last, based on space relationship, the image search technology was used to monitor the relative locations of image edge.
最后利用基于空间关系的图像检索技术对图像边缘的相对位置进行监测。
A comprehensive method of the bar section image segmentation, which used image edge detection and image region, was put forward.
提出了一种利用图像边缘检测与图像分区的综合图像分割的方法。
In image processing, it is very difficult to withdraw complex image edge characteristic information through a multi-structural element.
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。
The traditional image edge detection operators can only get very wide edges usually, which makes it difficult for the later image processing.
传统的边缘检测算子一般都只能得到比较宽的边缘，这为以后的图像处理带来了一定的困难。
From the results of experimentation, the method can make the mark image edge achieve good edge localization and improve the alignment precision.
从实验的结果来看，这种方法能够对对准标记达到很好的边缘定位，提高了对准精度。
The traditional image edge detectors can only get multiple-pixel-wide edges usually, thus it is difficult to operate by post-processing methods.
传统的图像边缘检测算子一般都只能得到多像素宽边缘，这为后续的图像处理带来了一定困难。
This paper suggests a new image edge detection method which is based on properties of prolate spheroidal function and performed with a special filter.
本文提出一个新的图象边缘检测方法，采用扁球面函数的特性，形成一种特殊的滤波器。
The results of image edge detection show that the algorithm has better convergence properties than the conventional backpropagation learning technique.
经图像边缘检测应用结果表明，该算法对于加快网络学习的收敛性有着显著成效。
The edge Fourier transform is an important shape descriptor, but it makes use of only the image edge information ignoring the image region information.
基于边界的傅立叶变换是一种重要的形状描述方法，其只利用了图像的边界信息，而忽略了图像的区域信息。
In this way, image brightness will be taken into account and the image edge should be simultaneously maintained as possible during filtering image noise.
这样，滤波时就可以考虑到图像的亮度信息，在滤除图像噪声的同时尽量保持了图像的边缘。
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。
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。
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