通过与传统边缘检测方法的对比，证明所用方法的有效性。
This method has been tested effectively through the computer, compared with the other traditional method.
针对传统边缘检测方法中存在的问题，结合计算机视觉测量技术的特点，提出了一种实用的轮廓提取方法。
Aiming at the shortcomings of traditional edge detection methods, considering the features of computer vision measurement, a practical contour extraction method is introduced.
由于遥感图像一般带有较大的噪声，通过实验表明，用传统的边缘检测方法效果不理想。
Experiments indicate that the traditional methods of edge detection are not ideal because of the bigger noise of remote sense image.
传统的边缘检测方法对噪声都比较敏感。
Traditional methods for edge detection are more sensitive to noises.
实验结果表明，该方法能够精确定位目标边缘，优于传统的边缘检测方法。
The experimental results show that the method can accurately locate the target edge and it is better than the traditional edge detection.
由于B超图像的分辨率差、灰度级别少等特点，用传统的边缘检测方法难以得到满意的效果。
Because of the low resolution and few gray-level for B-ultrasonic images, we can hardly obtain satisfied result by the traditional edge detection methods.
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.
目前，红细胞边缘形态的检测一般都是利用传统的边缘检测方法，如边缘临近一阶或二阶方向导数法，利用简单的方法来检测边缘。
At present, the methods of edge detection of erythrocyte are using traditional theory such as edge one-order or second-order orient differential coefficient and using simple methods to detect edge.
针对传统参数估计方法的缺陷，提出了增强的自适应边缘检测参数估计方法。
Aimed at their defects in parameter estimation, an enhanced auto adaptive edge detection method for parameter estimating is presented firstly.
结果此方法得到了满意的边缘检测和降噪结果，克服了传统方法的缺点。
Result: Good result about edge detection and denoise for image was gained by this way.
图像边缘检测是图像分割、图像识别的基础，传统的边缘检测方法对噪声非常敏感。
The image edge detection is the basis of image segmentation and image recognition. But the traditional methods of image edge detection are sensitive to noise.
本文介绍了常用的边缘检测方法和传统的边缘连接策略。
The dissertation has introduced the traditional edge detecting and linking methods.
传统的线段检测方法，对于弧形边缘没有充分地考虑，而弧线是道路的重要线性特征之一。
The traditional line segemernt detection hasn't considered about curve enoughly, but curve is an important part of road.
实验结果表明：与传统方法比较，该方法可以更有效地检测出边缘信息。
It is proved that this new method can effectively detect edges of color images compared with traditional methods.
分级处理模型灵活高效并能有效地适应复杂的路面图像情况，克服了传统的边缘检测方法的不足。
The hierarchical processing model is flexible and efficient and can meet the complicated situation of the road surface.
通过编写程序实现上述方法，并比较传统边缘检测算法与基于数学形态学边缘检测方法的结果。
Then the edge is detected by erodent algorithm. All results of those algorithms are deduced by the program of computer.
通过编写程序实现上述方法，并比较传统边缘检测算法与基于数学形态学边缘检测方法的结果。
Then the edge is detected by erodent algorithm. All results of those algorithms are deduced by the program of computer.
应用推荐