Description: Infrared image contains strong noise the CV model level set segmentation method will produce a large number of redundant outline CV level set partial differential equation (PDE), there are computationally intensive, split the shortcomings of slow. To this end, the paper proposes an improved fast algorithm, the algorithm retains the global optimization CV model and the integration of spatial information of image neighborhood filtered through the window to build the external speed curve evolution, thereby enhancing the noise immunity of the CV model and reduce redundant contour segmentation evolution of the curve to achieve fast level set algorithm based on the double-linked list, in addition to re-initialize the traditional algorithms and PDE solving process, reduce the number of iterations, to improve the segmentation speed
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一种改进的快速C_V水平集红外图像分割.pdf
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