| 基于矿山井下视频监控系统的图像增强方法研究 |
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| 引用本文： | 陈烨,鲍捷,池庆.基于矿山井下视频监控系统的图像增强方法研究[J].电视技术,2014,38(3):190-192,200. |
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| 作者姓名： | 陈烨 鲍捷 池庆 |
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| 作者单位： | 中国矿业大学信电学院,江苏徐州中国矿业大学（文昌校区）信电学院,江苏徐州中国矿业大学（文昌校区）信电学院 |
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| 摘 要： | 针对煤矿井下照度低、粉尘多的恶劣环境导致矿山井下图像质量差、图像可分辨率低的问题,提出一种基于脊波变换的图像增强算法,采用多种评价标准对增强后的图像进行评价,并且与直方图均衡化算法、小波增强算法进行比较。结果显示,该算法能够更好地增强图像的边缘、对比度和细节信息,图像效果从整体上更加符合人眼视觉标准。
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| 关 键 词： | 煤矿井下 图像增强 脊波变换 直方图 小波增强 |
| 收稿时间： | 2013/3/20 0:00:00 |
| 修稿时间： | 2013/4/15 0:00:00 |
Research on Image Enhancement Based on Coal Mine Video |
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| chenye,baojie and chiqing.Research on Image Enhancement Based on Coal Mine Video[J].Tv Engineering,2014,38(3):190-192,200. |
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| Authors: | chenye baojie and chiqing |
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| Affiliation: | College of Electrical and Information Engineering, China University of Mining and Technolog,College of Electrical and Information Engineering, China University of Mining and Technology,College of Electrical and Information Engineering, China University of Mining and Technology |
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| Abstract: | In view of characteristics of low quality and lower contrast ratio effect caused by bad environment of weak illumination and intensive light in coal mine underground, the paper put forward an algorithm of image enhancement based on ridgelet transform theory. Using a variety of evaluation criteria to evaluate the enhanced image, and compared with histogram equalization algorithm and image enhancement arithmetic based on wavelet transform. Results show that this algorithm can better enhance image edges, clarity of images and details information. Image effect was improved from the vision. |
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| Keywords: | underground mine image enhancement ridgelet transform histogram wavelet enhancement |
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