基于Bubble小波的多尺度边缘提取

计算机科学 ›› 2006, Vol. 33 ›› Issue (1): 272-273.

基于Bubble小波的多尺度边缘提取

王侃伟方宗德

西北工业大学机电学院,西安710072

出版日期:2018-11-17 发布日期:2018-11-17

WANG Kan-Wei FANG Zong De （Northwestern Polytechnical University, Mechanical and Electronic Engineering, Xi＇an 710072）

Online:2018-11-17 Published:2018-11-17

摘要/Abstract

摘要： 根据列车轮对图像的特性，主要探讨了基于小波分析的原理，并基于Bubble二进小波函数进行图像多尺度边缘提取。利用边缘相关判据排除噪声边缘，取边缘响应极大点作为配准控制点。实验结果显示，本方法能够很准确地提取出图像的主要边缘信息。

关键词: 图像处理小波变换 Bubble 边缘提取多尺度边缘提取小波分析小波函数边缘信息图像控制点

Abstract: According to the properties of train wheel image , in this paper the concept of wavelet transform is introduced. The proposed approach applies wavelet transform to extract a number of feature points as the basis for registration. And multi scale edges of

Key words: Image processing, Wavelet transform, Bubble, Edgc extraction

王侃伟方宗德. 基于Bubble小波的多尺度边缘提取[J]. 计算机科学, 2006, 33(1): 272-273. https://doi.org/

WANG Kan-Wei FANG Zong De （Northwestern Polytechnical University, Mechanical and Electronic Engineering, Xi＇an 710072）. [J]. Computer Science, 2006, 33(1): 272-273. https://doi.org/

参考文献

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed