| 基于改进差分盒维数的烟雾分割方法 |
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| 引用本文： | 于海晶,李桂菊.基于改进差分盒维数的烟雾分割方法[J].液晶与显示,2013,28(1):115-119. |
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| 作者姓名： | 于海晶 李桂菊 |
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| 作者单位： | 于海晶:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033中国科学院大学, 北京 100049
李桂菊:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
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| 基金项目： | 国家自然科学基金(No.61172111) |
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| 摘 要： | 针对森林背景与烟雾的分形纹理结构的不同特性,提出了改进差分盒维数的烟雾分割方法。首先,在已有的差分盒维数算法基础上,扩大子窗口的选择范围,计算每个像素的分形维数值并分析得到的其分形特征数据;然后,选择合适的阈值对像素进行分类,筛选出符合烟雾特征的像素,从而实现烟与森林背景的分割;最后,应用形态学中膨胀算法进行连通处理。实验结果证明,基于改进的差分盒维数方法对以树木为背景的烟雾图像具有较好的分割效果。
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| 关 键 词： | 差分盒维数 分形 图像分割 数学形态学 烟雾图像 |
| 收稿时间： | 2012/3/12 |
Smoke Segmentation Method Based on Improved Differential Box-Counting Fractal Dimension |
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| YU Hai-jing,LI Gui-ju.Smoke Segmentation Method Based on Improved Differential Box-Counting Fractal Dimension[J].Chinese Journal of Liquid Crystals and Displays,2013,28(1):115-119. |
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| Authors: | YU Hai-jing LI Gui-ju |
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| Institution: | 1(1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences, Changchun 130033,China 2.University of Chinese Academy of Science,Beijing 100039,China) |
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| Abstract: | Aiming at the different texture characteristics of the forest and the smoke image, a smoke segmentation method about the improvement of differential box-counting(DBC)fractal dimension algorithm is proposed. Firstly, the improved algorithm expands the scope of child window based on the existing algorithm, calculates every pixel fractal dimension and analyses them. Then, it filters the pixels marked the smoke feature by choosing the fit threshold, it can realize smoke image segmentation. Finally, the expansive algorithm in the morphology is used to the connected processing. The experimental results demonstrate that the improved differential box-counting fractal dimension algorithm has a satisfying segmentation result. |
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| Keywords: | differential box-counting fractal image segmentation mathematical morphology smoke image |
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