摘要
传统的LOG算子在高斯滤波方差的选择上不具备自适应能力,方差的大小会直接影响到去噪和边缘保持效果.针对此问题给出了一种改进的LOG算子方法,并对原图像分别采用改进的LOG算子和小波变换两种方法进行边缘提取,最后将这两种方法检测出来的边缘图像进行融合.实验表明,融合后的图像结合了两种检测方法的优点,有效地提高了边缘检测准确性,获得了比较理想的边缘检测效果.
The traditional LOG operator does not have the adaptive ability itself in the variance of Gaussian filtering.The variance directly affects the de-noising and the edge preserving effect.Aiming at on the problem,a new kind of LOG operator is proposed.It detects the edge of original image by the means of improved LOG operator and wavelet transform respectively,and then gets a new image by fusing the two edge images.It is shown that the fusion method contain the advantage of two detecting methods and obtain more perfect edge image.
出处
《哈尔滨理工大学学报》
CAS
2012年第5期87-90,共4页
Journal of Harbin University of Science and Technology
基金
黑龙江省研究生创新科研项目(YJSCX2011-044HLJ)
黑龙江省博士后基金(LBH-Z08102)
黑龙江省自然科学基金(A200902)
黑龙江省教育厅科学技术研究项目
关键词
LOG算子
高斯滤波
小波变换
边缘检测
LOG operator
Gaussian filter
wavelet transform
edge detection
