基于Hough变换的煤岩界面识别方案

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基于Hough变换的煤岩界面识别方案

彭静, 李新颖, 贾君霞

文章导航 > 工矿自动化 > 2015 > 41(2): 54-56

彭静，李新颖，贾君霞.基于Hough变换的煤岩界面识别方案［J］.工矿自动化，2015,41(2)：54-56.. doi: 10.13272/j.issn.1671-251x.2015.02.015

引用本文:

彭静，李新颖，贾君霞.基于Hough变换的煤岩界面识别方案［J］.工矿自动化，2015,41(2)：54-56.. doi: 10.13272/j.issn.1671-251x.2015.02.015

PENG Jing, LI Xinying, JIA Junxia. Coal-rock interface identification scheme based on Hough transform[J]. Industry and Mine Automation, 2015, 41(2): 54-56. doi: 10.13272/j.issn.1671-251x.2015.02.015

Citation:

PENG Jing, LI Xinying, JIA Junxia. Coal-rock interface identification scheme based on Hough transform[J]. Industry and Mine Automation, 2015, 41(2): 54-56. doi: 10.13272/j.issn.1671-251x.2015.02.015

彭静，李新颖，贾君霞.基于Hough变换的煤岩界面识别方案［J］.工矿自动化，2015,41(2)：54-56.. doi: 10.13272/j.issn.1671-251x.2015.02.015

引用本文:

彭静，李新颖，贾君霞.基于Hough变换的煤岩界面识别方案［J］.工矿自动化，2015,41(2)：54-56.. doi: 10.13272/j.issn.1671-251x.2015.02.015

PENG Jing, LI Xinying, JIA Junxia. Coal-rock interface identification scheme based on Hough transform[J]. Industry and Mine Automation, 2015, 41(2): 54-56. doi: 10.13272/j.issn.1671-251x.2015.02.015

Citation:

PENG Jing, LI Xinying, JIA Junxia. Coal-rock interface identification scheme based on Hough transform[J]. Industry and Mine Automation, 2015, 41(2): 54-56. doi: 10.13272/j.issn.1671-251x.2015.02.015

基于Hough变换的煤岩界面识别方案

doi: 10.13272/j.issn.1671-251x.2015.02.015

兰州交通大学电子与信息工程学院，甘肃兰州730070

基金项目:

甘肃省自然科学基金资助项目（1310RJZA001）

兰州交通大学青年基金资助项目（2013008）

中图分类号: TD67
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出版历程
- 刊出日期: 2015-02-10

Coal-rock interface identification scheme based on Hough transform

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

摘要: 根据煤层与岩石层分界明显且呈线状的煤岩图像特征，提出一种基于Hough变换的煤岩界面识别方案。首先对煤岩图像进行去噪与增强预处理，然后去除煤与岩石边缘的孤立点与虚假边缘，最后采用Hough变换识别煤岩分界线。实验结果表明，该方案能够较快、较准确地检测出煤岩分界线。
- 煤岩界面识别 /
- 边缘检测 /
- Hough变换
Abstract: A coal-rock interface identification scheme based on Hough transform was proposed according to characteristic of coal-rock image, namely boundary between coal seam and rock seam is significant and linear. Coal-rock image is pre-processed firstly by denoising and enhancing. Then isolated points on coal-rock edge are removed as well as false edges. Finally, Hough transform is used to identify coal-rock interface. Experimental result shows that the scheme can detect coal-rock boundary fast and correctly.
- coal-rock interface identification /
- edge detection /
- Hough transform

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