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。
Thus the image edge detection is an important aspect of image processing, which has been one of classical research field of computer vision and image processing.
因而边缘检测是图像处理中的重要内容，一直是计算机视觉和图像处理领域的经典研究课题之一。
Median filter technology is a non-linear technology that can preserve image edge while removing noise. It is used in many fields widely, e. g. image enhancing and restoration.
中值滤波技术是一种在去除噪声的同时能较好保护图像边缘细节的非线性技术，在图像增强和恢复等领域中得到了广泛的应用。
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。
Aerial image edge detection is an important assistant work of images interpretation.
航空图像边缘提取对于图像的判读具有重要的辅助作用。
A practical method of correlation tracking based on image edge character is presented.
介绍一种利用图像边沿特征实现图像相关跟踪的方法。
A new algorithm of fuzzy mathematical morphology for image edge detection is proposed.
提出了一种新的基于模糊形态学的边缘检测算法。
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。
Secondly, based on the characteristics of the image, the image edge of the glass rod is detected.
根据玻璃棒图像的特点，使用图像处理技术提取玻璃棒的轮廓边缘信息；
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。
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。
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。
Image positioning and segmentation mainly relates to the skew correction algorithm, the image edge detection algorithm.
图像的定位和分割主要涉及到倾斜校正算法，图像的边缘检测算法。
First SAR image edge detection techniques are used to find the location of the fringe lines in the interferometric phase image.
基于边缘检测算法确定干涉图中干涉纹的位置来实现干涉相位的解模糊。
For that reason, the paper presented a new method of automatic first breaks pick-up based on the technique of image edge detection.
为此，本文提出了一种新的基于图像边缘检测技术的初至波自动拾取方法。
The proposed method works well, and has strong adaptability as well as protecting image edge compared with other filtering methods.
与已有的滤波方法相比，该算法在较好地滤除噪声的同时，具有自适应和图像边缘保护能力。
The Principle of image measurement system is that the geometrical parameters are obtained by processing the image edge of the object.
图像测量系统的测量原理是通过处理被测物体图像的边缘而获得物体的几何参数。
An image interpolation algorithm based on image edge information can be elicited from dividing image into no-edge areas and edge areas.
通过将图像分为非边缘部分和边缘部分，得出了一种基于图像边缘信息的图像插值算法。
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。
By the research of the nature and image characteristics of BEMD, improved BEMD method will be applied to image edge extraction and denoising.
通过对BEMD性质和图像特征的研究，提出将改进的BEMD方法应用于图像边缘提取和去噪。
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。
It is important to detect the image edge in the course of quality testing for ceramic tile, but noise in the image processing system is unavoidable.
在墙地砖的质量检测过程中，边缘检测是一项重要内容，而在检测过程中，图像噪声的引入不可避免。
It is important to detect the image edge in the course of quality testing for ceramic tile, but noise in the image processing system is unavoidable.
在墙地砖的质量检测过程中，边缘检测是一项重要内容，而在检测过程中，图像噪声的引入不可避免。
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