【作者】 袁小平； 于洪珍；

【Author】 Yuan Xiaoping Yu Hongzhen(College of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

【机构】 中国矿业大学信息与电气工程学院；

【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.更多还原

【Abstract】 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 proposed. Having analyzed a traditional way of image enhancing in wavelet transform on 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-hold drill in coal mine. The results show that the proposed solution can effectively enhance terrane image of the anchor-hold drill in coal mine and get a better vision effect. .更多还原