| 引用本文: | 门 洪,于加学,秦 蕾.基于CA和OTSU的电气设备红外图像分割方法[J].电力自动化设备,2011,31(9): |
| MEN Hong,YU Jiaxue,QIN Lei.Segmentation of electric equipment infrared image based on CA and OTSU[J].Electric Power Automation Equipment,2011,31(9): |
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| 摘要: |
| 针对电气设备红外图像中需要对目标进行识别和诊断的需求,提出了一种基于元胞自动机(CA)与最大类间方差(OTSU)法的图像增强与分割算法?首先采用高帽?低帽变换结合的方法对电气设备红外图像进行增强,对增强后的图像采用CA法进行边缘提取,并进行二值化处理,最后与经过OTSU算法分割后的红外图像进行融合?实验结果表明采用该算法后,红外图像目标细节清楚,适合人眼观测? |
| 关键词: 电气设备 红外成像 图像识别 图像分割 元胞自动机 高帽?低帽变换 最大类间方差 |
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| 基金项目:国家自然科学基金资助项目（50977080）；教育部课题（2009 - ZX - 052） ；湖南省自然科学基金资助项目（08JJ6029） |
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| Segmentation of electric equipment infrared image based on CA and OTSU |
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MEN Hong, YU Jiaxue, QIN Lei
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School of Automation Engineering,Northeast Dianli University,Jilin 132012,China
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| Abstract: |
| An image enhancement and segmentation algorithm is put forward for the object recognition and diagnosis of electric equipment infrared images based on CA(Cellular Automata) and OTSU method. The top hat transformation and low cap transformation are combined to enhance the infrared images of electric equipment and CA is then applied to detect the edges of the enhanced images,which are transformed into binary variables and merged into images segmented by OTSU. Experimental results show that,after algorithm processing, the objects of infrared image become clearer and more suitable for observation by naked eyes. |
| Key words: electric equipment infrared imaging image recognition image segmentation cellular automata top hat transformation and low cap transformation OTSU |
