摘要
目的为了解决矿山井下由于光源不足,视频监视画面粗糙、模糊、层次不分明以及图像信号在传输过程中易受井下恶劣通信环境干扰,质量下降的问题。方法应用小波理论对井下视频图像进行消噪处理和加强轮廓处理,讨论小波分解高频系数阈值的选取和量化问题。结果实验数据表明,频域变换和消噪处理结合使用,可使井下视频图像质量得到改善。结论井下视频图像的小波消噪加强方法是一种切实可行的方法。
Aim To solve the problem that the video surveillance image coarse, dim and dark because the lamphouse is in lack on the mine underground. Besides, the quality of image signal declined in the course of transmission due to the interference by the underground execrable communication condition. Methods The methods of noise reduction and image intensification of mine underground video picture are studied based the wavelet theory. The threshold selection and measure question of wavelet transform high frequency coefficients are discussed. Results The result shows that application of noise reduction combined with frequency field transform can improve the mine underground video picture quality. Conclusion The wavelet applications in image processing of mine deserve is efficient.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2006年第6期882-886,共5页
Journal of Northwest University（Natural Science Edition）
基金
中国博士后科学基金资助项目(2005037244)
国家安全生产监督管理总局课题资助项目(20030730)
关键词
井下图像
消噪
轮廓加强
小波理论
mine underground video picture
noise reduction
adumbration intensification
wavelet theory
