摘要
采用一种基于高斯滤波与矢量微分算子相结合的近似小波多尺度边缘算法 .该算法分别选定大小 2个高斯滤波器的尺度 ,并将其分别与原始图像作卷积 ,从而得到图像的多尺度信息 .以矢量微分算子为卷积核与滤波后的图像进行运算 ,在获得的梯度向量上 ,沿相角方向取模为极大值的点为边界点 .将该方法用于边缘检测 。
This paper uses an approach of approximate wavelet multi scale edge detecting algorithm based on Gaussian filter and vector differential operator.This method selects large and small scales that are convoluted with original image separately.So we can obtain multi scale information of the image.Then we take the vector operator as a core of convolution that is operated with the image filtered.On obtained gradient vector,along the direction of phase,we take the point with maxmium value of mode as a edge point.We use this method in edge detecting and gain a better result.
出处
《沈阳化工学院学报》
2001年第2期105-107,共3页
Journal of Shenyang Institute of Chemical Technolgy
