中文摘要：

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。

英文摘要：

Due to the precision problem in the boundary segmentation process in SEEDS color image segmentation method,the Bilateral Filter SEEDS method is put forward. First of all, the picture is treated with Bilateral Filter SEEDS method,this procedure can reduce the influence of texture and noise in boundary segmentation and filter the noise without missing the information of boundary. Now,the picture is smoother,and then,the picture is treated with superpixel color image segmentation, which reduces the erroneous in image segmentation, thus making the seg-mentation of boundary information more precise. Simulation experiment shows that the segmentation result of Bilat-eral Filter SEEDS method is better than the result of the SEEDS method. Moreover, the boundary recall rates and undersegmentation error rate both have an advantage over the traditional method obviously.