双边滤波SEEDS彩色图像分割方法Bilateral Filter SEEDSColor Image Segmentation Method
裴高阳,张荣国,胡静,刘小君
摘要(Abstract)：
针对SEEDS彩色图像分割方法存在边界分割不精确的问题,给出了一种双边滤波SEEDS方法。首先利用双边滤波器对图像进行滤波处理,可以降低图像中纹理和噪声等信息对边界分割的影响,能够在保持边界信息的同时滤除噪声,从而使图像变得平滑。然后再进行超像素彩色图像分割,这样减少了图像误分割的现象,使边界信息分割的更加精确。仿真实验表明,双边滤波SEEDS方法在边界召回率和欠分割错误率方面都要优于SEEDS方法。
关键词(KeyWords)： SEEDS方法;超像素;图像分割;双边滤波;爬山算法;边界召回率
基金项目(Foundation): 国家自然基金项目(51375132);; 山西省自然基金项目(2013011017);; 晋城市科技局项目(201501004-5)
作者(Author): 裴高阳,张荣国,胡静,刘小君
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