基于暗原色先验的煤矿井下图像增强技术

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基于暗原色先验的煤矿井下图像增强技术

张英俊, 雷耀花, 潘理虎

文章导航 > 工矿自动化 > 2015 > 41(3): 80-83

张英俊，雷耀花，潘理虎.基于暗原色先验的煤矿井下图像增强技术［J］.工矿自动化，2015,41（3）：80-83.. doi: 10.13272/j.issn.1671-251x.2015.03.020

引用本文:

张英俊，雷耀花，潘理虎.基于暗原色先验的煤矿井下图像增强技术［J］.工矿自动化，2015,41（3）：80-83.. doi: 10.13272/j.issn.1671-251x.2015.03.020

ZHANG Yingjun, LEI Yaohua, PAN Lihu. Enhancement technique of underground image based on dark channel prior[J]. Industry and Mine Automation, 2015, 41(3): 80-83. doi: 10.13272/j.issn.1671-251x.2015.03.020

Citation:

ZHANG Yingjun, LEI Yaohua, PAN Lihu. Enhancement technique of underground image based on dark channel prior[J]. Industry and Mine Automation, 2015, 41(3): 80-83. doi: 10.13272/j.issn.1671-251x.2015.03.020

张英俊，雷耀花，潘理虎.基于暗原色先验的煤矿井下图像增强技术［J］.工矿自动化，2015,41（3）：80-83.. doi: 10.13272/j.issn.1671-251x.2015.03.020

引用本文:

张英俊，雷耀花，潘理虎.基于暗原色先验的煤矿井下图像增强技术［J］.工矿自动化，2015,41（3）：80-83.. doi: 10.13272/j.issn.1671-251x.2015.03.020

ZHANG Yingjun, LEI Yaohua, PAN Lihu. Enhancement technique of underground image based on dark channel prior[J]. Industry and Mine Automation, 2015, 41(3): 80-83. doi: 10.13272/j.issn.1671-251x.2015.03.020

Citation:

ZHANG Yingjun, LEI Yaohua, PAN Lihu. Enhancement technique of underground image based on dark channel prior[J]. Industry and Mine Automation, 2015, 41(3): 80-83. doi: 10.13272/j.issn.1671-251x.2015.03.020

基于暗原色先验的煤矿井下图像增强技术

doi: 10.13272/j.issn.1671-251x.2015.03.020

1.
太原科技大学计算机科学与技术学院，山西太原030024
2.
中国科学院地理科学与资源研究所，北京100101

基金项目:

“十二五”山西科技重大专项项目（20121101001）

中图分类号: TD672
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- 文章访问数: 20
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出版历程
- 刊出日期: 2015-03-10

Enhancement technique of underground image based on dark channel prior

1.
School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China
2.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of

摘要: 针对现有煤矿井下图像模糊增强算法不能应对井下浓雾情况且处理后的图像较模糊的问题，提出一种基于暗原色先验的煤矿井下图像增强技术，通过线性模糊化函数来达到图像增强的目的，并使用暗原色先验理论来增强图像的对比度，同时去雾尘。实验结果表明，基于暗原色先验的煤矿井下图像增强技术可提高煤矿井下图像的可视性，同时明显增强图像的对比度。
- 煤矿 /
- 图像增强 /
- 线性模糊化 /
- 暗原色先验 /
- 雾尘图像 /
- 对比度
Abstract: In view of problem that existing image fuzzy enhancement algorithm of underground coal mine cannot deal with the situation when the image is in fog and the processed images are obscure, the paper proposed an enhancement technique of underground image based on dark channel prior. The technique uses linear fuzzification function to achieve the purpose of image enhancement, and adopts dark channel prior theory to enhance image contrast, meanwhile realizes defogging and dedusting. The experimental results show that the proposed technique can improve visibility of underground image and significantly enhance image contrast.
- coal mine /
- image enhancement /
- linear fuzzification /
- dark channel prior /
- image in fog and dust /
- contrast

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