Research of Machine Visual Image Processing Based on Wavelet Analysis

摘要：

Wavelet analysis, which has been advancing recent years, is a new method of image processing, especially in the field of machine visual image processing and analysis. As a tool, wavelet analysis can be applied to image denoising, image decomposing, image compressing, image enhancing and image fusion. It can also act on the image processing in boundary inspection and dynamic analysis.As a result, the information which we need was distilled from the visual image, and then we can identify or monitor it. In this paper, characteristics and development of wavelet transform theory is analyzed.Directions and methods of machine visual image processing based on wavelet analysis are summarized.In addition, the matters that should attach importance to are indicated. In a word, the wavelet analysis has an enormous potential in the field of machine visual image processing.

关键词： machine vision wavelet analysis image processing image denoising image decomposing boundary inspection dynamic analysis

作者: WU Jichao REN Zhenhui

作者单位: College of Mech. and Elec. Engineering, Agricultural University of HeBei, BaoDing 071001 China

会议类型: 国际会议

会议名称: 2008 International Conference on IAEA(2008农业信息化、自动化与电气化国际会议)

会议地点: 镇江

会议语种:英文

页码: 8-11

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）