电子科技2011，Vol.24Issue(9)：104-107,4.
超空泡图像的自适应多尺度小波边缘检测
Adaptive Multi-scale Wavelet Edge Detection of Super Vacuoles Image
雷斌 1侯帅格 1沈艳辉1
作者信息
- 1. 西安工业大学电子信息工程学院,陕西西安710032
- 折叠
摘要
Abstract
Aiming at the undesirable noise in the image of Super Vacuoles image,which is acquired from the high-speed projectiles test underwater,and the poor ability of traditional edge detection algorithm to restrain the noise in auto edge detection,this paper uses the self-adaptive multi-scale wavelet edge detection to detect the edge of Super Vacuoles image.First,we carry out the multi-scale wavelet transform and the enhancement of neighboring scale gradient.Then,we use the K-Means clustering to auto detection the edge,after which we obtain the edge of different scale.Finally,we choose the Multi-scale fusion strategy according to the wavelet and fuse the multi-scales edge into the final edge.The Experiments show that compared with the traditional edge detection algorithm,the proposed algorithm suppresses the edge noise more effectively,and obtains more information of the edge.关键词
超空泡图像/自适应多尺度小波边缘检测/K均值聚类/多尺度融合Key words
super vacuoles image/adaptive multi-scale wavelet edge detection algorithm/k-means clustering/multi-scale fusion分类
信息技术与安全科学引用本文复制引用
雷斌,侯帅格,沈艳辉..超空泡图像的自适应多尺度小波边缘检测[J].电子科技,2011,24(9):104-107,4.
