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基于Mean shift算法的煤岩分界识别
提出了一种基于Mean shift算法的煤岩分界识别方案。首先介绍了Mean shift算法原理，通过关联图像的像素位置向量和灰度值构建了一个空间联合域；然后给出了适用于煤岩图像分割的带宽参数选择方法，以去除虚假孤立区域和杂散边界；最后利用煤岩图像的人造边界和真实边界进行仿真，结果表明Mean shift算法较K-means算法能更准确地获得煤岩分界线。...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Chinês |
| Published: |
Editorial Department of Industry and Mine Automation
2015-04-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.04.019 |
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