基于经典边缘检测算子在抗噪声干扰方面存在不足。
To overcome the drawbacks of the traditional edge detection operators in anti-noise interference.
选取适当的阈值和边缘检测算子对候选目标进行图像二值分割和边缘提取；
Then, the proper grayscale threshold and edge-detector are selected to obtain the binary image and the target boundary.
在此基础上利用改进形态学算子的多尺度运算定义了一种新的边缘检测算子。
And then a new edge detector is defined by using the multi-scale operation of the modified morphological transform.
文章介绍边缘检测算子的原理与优缺点，并将形态学方法与细胞图像分割结合。
The article introduces the advantages and disadvantages of the edge detection and applies mathematical morphology into cells image segmentation.
比较若干不同的边缘检测算子及二值化算法，讨论了其在车辆牌照识别中的应用。
In this paper, some different operators of edge detection together with some thresholding calculations were compared.
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。
The traditional image edge detection operators can only get very wide edges usually, which makes it difficult for the later image processing.
试验结果表明，利用SOBEL边缘检测算子进行数字图像的边缘检测和提取其效果比较理想。
The result of experiment indicate that it is relatively effective for SOBEL operator to realize digital image fringe detecting and picking up.
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。
The traditional image edge detectors can only get multiple-pixel-wide edges usually, thus it is difficult to operate by post-processing methods.
结果各种边缘检测算子获得不同的结果，经对比讨论后，可见使用数学形态学方法的结果较好。
Results Through comparing different methods of edge detection morphology edge detection seems to have better result.
修正后的边缘检测算子在一定程度上克服了边缘的模糊性，提取出更多的细节边缘，又能有效地消除噪声的影响。
The modified edge detection operators can not only overcome the fuzzy of edge to some extent and extract more details of edge, but also effectively eliminate the impact of noise.
利用边缘检测算子从计算数据中检测出位于边缘上的点，通过处理压力数据可以在图像中清晰地显示冲击波的轮廓。
A method of detection and visualization of shock waves from the calculated data with the edge detector has been proposed in this paper.
仿真结果表明：该方法去噪效果好，能提取图像中较弱的边缘，且边缘具有很强的连续性，明显优于传统的边缘检测算子。
The result of simulation shows that the method can detect weak edges which possess strong continuity and anti-noise property, also is superior to the traditional edge detection operators.
不同的微分算子对边缘的敏感程度是不同的，如何选用适当的边缘检测算子得到准确的边缘信息，就成为断口图像处理的关键步骤。
Sensitivity is different for different differential operators, how to choose a suitable edge detection operator to obtain exact information of edge, is the essential step for fracture surface image.
针对检测数字图像灰度梯度的最大值法，采用SOBEL边缘检测算子对数字图像进行边缘检测，并利用硬件(大规模可编程逻辑器件CPLD)实现了数字图像的边缘提取。
The article will contrapose maximum value method based on detecting image grey grad, and take example of SOBEL operator to realize digital image fringe picking up based on hardware (CPLD).
然后利用微观检测算子检测出微小型零件的边缘点；
The second step is to detect the edge point by microcosmic operator.
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.
本文在第一章对图像的边缘进行了一个一般的概述，接着，在第二章中先介绍了比较经典的检测算子，并做出了比较。
In chapter one, we give an over view of the image edge. And in chapter two, some classic detection algorithms are introduced. Also has made the comparison.
在样本和待配准图像相同几何方向上，先以方向边缘点检测算子检测目标区的数个边缘点作为特征点。
In the same geometrical direction of the sample to be registered and its neighboring images, some edge points are first detected as the characteristic points with directional edge-detection operator.
在样本和待配准图像相同几何方向上，先以方向边缘点检测算子检测目标区的数个边缘点作为特征点。
In the same geometrical direction of the sample to be registered and its neighboring images, some edge points are first detected as the characteristic points with directional edge-detection operator.
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