| 基于信息融合的高炉料面红外图像分割方法 |
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| 引用本文： | 安剑奇,吴敏,何勇,许永华. 基于信息融合的高炉料面红外图像分割方法[J]. 中南大学学报(自然科学版), 2011, 42(2) |
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| 作者姓名： | 安剑奇 吴敏 何勇 许永华 |
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| 作者单位： | 中南大学信息科学与工程学院,湖南长沙,410083 |
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| 基金项目： | 国家高技术研究发展计划("863"计划)项目，国家杰出青年科学基金资助项 |
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| 摘 要： | 针对高炉料面红外图像特征难以准确提取的问题,提出一种基于多源信息融合和免疫遗传算法的最大模糊熵分割方法.根据专家经验和多源过程检测信息,将高炉料面图像分为高温和低温子图像,采用免疫遗传算法和最大模糊熵分别对子图像进行分割,再将分割后的图像融合.采用国内某钢铁公司高炉炉项摄像机拍摄的图像进行图像分割比较实验.研究结果表明:该方法有效地利用多源信息和高低温图像特征,充分发挥最大熵法分割精度高和受目标大小影响小等优点,通过免疫疫苗接种提高遗传算法搜索最佳阈值的收敛速度;该方法能高效准确地提取高炉料面温度特征,及时发现高炉异常炉况,更符合工业实际应用要求.
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| 关 键 词： | 图像分割 信息融合 免疫遗传算法 最大模糊熵 |
Segmentation method for burden surface infrared image in BF based on multi-source information fusion |
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| AN Jian-qi,WU Min,HE Yong,XU Yong-hua. Segmentation method for burden surface infrared image in BF based on multi-source information fusion[J]. Journal of Central South University:Science and Technology, 2011, 42(2) |
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| Authors: | AN Jian-qi WU Min HE Yong XU Yong-hua |
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| Affiliation: | AN Jian-qi,WU Min,HE Yong,XU Yong-hua (School of Information Science and Engineering,Central South University,Changsha 410083,China) |
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| Abstract: | Considering the fact that the fact that the feature of image for burden surface temperature profile in BF can not be accurately extracted,a kind of maximum fuzzy-entropy image segmentation method based on the multi-source information fusion and the immune genetic algorithm for burden surface infrared image was proposed.Firstly,according to the expert experience and the multi-source detected information of the BF,the image of burden surface was divided into two sub-images,named as high or low temperature sub... |
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| Keywords: | image segmentation information fusion immune genetic algorithm maximum fuzzy-entropy |
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