摘要
针对煤矿井下岩层监视监控系统中图像模糊的问题 ,提出了采用小波变换进行图像增强处理 .通过分析了一种基于Mallat的传统的小波变换的图像增强方法 ,提出了综合利用基于小波变换的阈值化去噪方法和计算增强系数的实用算法来实现含有噪声图像增强的算法 .通过实例综合利用基于小波变换的阈值化去噪方法和计算增强系数的实用算法 ,实现了对煤矿井下锚杆钻孔内岩层图像的增强处理 .研究结果表明 ,基于小波变换的图像增强方法能够较好地增强煤矿井下锚杆钻孔内图像中的细节特征 ,从而获得了比较满意的视觉效果 .
To solve the problem of image faintness in the terrane monitoring system in coal mine underground, a solution using wavelet transform to enhance images is propo sed. Having analyzed a traditional way of image enhancing in wavelet transform o n the basis of Mallat, this paper presents an arithmetic, which uses threshold- value mean on the basis of wavelet transform and magnifying coefficient utility arithmetic, to fulfill the enhancement of image with noises. As an example, the novel arithmetic was applied to the image-enhancing processing of an anchor-ho l d drill in coal mine. The results show that the proposed solution can effectivel y enhance terrane image of the anchor-hold drill in coal mine and get a better vision effect..
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第B11期211-214,共4页
Journal of Southeast University：Natural Science Edition
基金
江苏省自然科学基金资助项目 (BK2 0 0 10 73 ) .
关键词
小波变换
锚杆钻孔
岩层图像
增强处理
wavelet transform
anchor-hold drill
terrane image
enhancing processing
