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A new edge detection method was put forward based on mathematical morphology and Canny algorithm.

提出了一种基于数学形态学和Canny算子的边缘提取方法。

This is the bitmap using Canny operator for edge detection of the source code and test pictures!

这是位图用CANNY算子进行边缘提取的源程序代码及测试图片!

Several edge detection operator of comparison, the paper for the boundary detection algorithm to do useful research.

详细说明:几种边缘检测算子的比较,该论文对于做边界检测的算法研究很有帮助。

This paper puts forward a united Laplacian transform which is based on the differential geometry curve coordinate system,the practical numerical experiment results show that this method has a strong edge detection ability and produces the better effect compared with old method.

该文采用基于微分几何曲线坐标系下普遍的Laplacian算子进行边缘检测,从结果可以看到处理效果明显优于普通的方法。

Keywords: Multiscales analysis,Marr edge detection operator,Wavelet decomposition,Edge detection,Degree of the details selection

小波分解的级数控制观察距离"调焦",改变 Marr算子中的标准差σ、可实现在同一分辨率级上所要求检测边缘的细节程度。

First, a gradient detecter is used for detecting all localintensity discontinuous points as candidate edge points. Then,all thesecandidate edge points are classified into three kinds of point setsaccording to some classifying rules.

首先,利用梯度检测算子检测出灰度不连续象点作为候选边缘点,其次,按文中提出的若干分类规则,将这些候选点分为三类。

Based on the differential operator method of detecting almost all more sensitive to noise and can not guarantee that they will get straight edge, can not be used for target identification and analysis.

基于微分算子检测的方法几乎都对噪声较为敏感且不能保证得到连续的边缘,无法用于辨识和分析目标。

The main research aspects are as following. 1. The zero-order differential operator is constructed, based on the inside interpolation collocation method.

一、在内延拓配点的基础之上,构造了0阶导算子去对函数进行相应的级数展开和插值,证明了它对边缘效应和Gibbs现象的抑制作用。

image processing ; edge detection ; differential operator ; SUSAN operator

本文在对几种常用的图像边缘检测算子进行分析介

On the basis of image segmentation by complexion and gray information,some rough facial feature contours can be outlined by seed-filling the non-complexional regions.Then a modified color Snake model was used to fine-draw the rough contours.

根据肤色和灰度信息,在图像分割的基础上,利用种子填充技术获得面部各非肤色特征的轮廓初值;然后采用一种改进的彩色Snake模型对轮廓初值进行精确定位;接着,根据人脸的先验知识,利用含有方向信息的形态学边缘检测算子通过一次逐点考察完成下颚轮廓线的提取。

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