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基于C-V 的压力模型对飞机红外图像分割
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2009-08-05
绝代双骄
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针对飞机红外图像中存在的背景噪声大、目标几何结构复杂、图像对比度低所造成参数活动轮廓模型进行图像分割的困难，本文利用获得的各区域灰度信息，进行Chen-Vese 能量函数最小化，进而决定形变点压力的方向和大小，构造出压力大小和方向可变的参数活动轮廓模型，来实现飞机红外图像分割。改进模型的停止函数不再单一依赖于图像的局部梯度信息，模型对图像的复杂边界和模糊边界能实现稳定和正确的收敛。
关 键 词: 红外图像 Chan-Vese方法参数活动轮廓模型
Abstract:Balloon model based on global information comparison was proposed in the lower contrast and complicated background image. The model proposed by the paper to determine the pressure direction on the basis of global information comparison makes use of the grey information at each area to minimize Chen-Vese energy function so as to determine the direction or size of pressure deformation. In this way, the stopped function of the improved model no longer solely depends on partial gradient information of the image so that the complicated geometrical structure borders and vague borders in the image can still achieve ideal convergence.
Key words: Infrared Image ；Chan-Vese Method ; Parametric Active Contour Model
关 键 词: 红外图像 Chan-Vese方法参数活动轮廓模型
Abstract:Balloon model based on global information comparison was proposed in the lower contrast and complicated background image. The model proposed by the paper to determine the pressure direction on the basis of global information comparison makes use of the grey information at each area to minimize Chen-Vese energy function so as to determine the direction or size of pressure deformation. In this way, the stopped function of the improved model no longer solely depends on partial gradient information of the image so that the complicated geometrical structure borders and vague borders in the image can still achieve ideal convergence.
Key words: Infrared Image ；Chan-Vese Method ; Parametric Active Contour Model
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