摘要
该文在生成的灰度图象上加上随机噪音,用最大后验(MAP)估计方法、模糊C-均值方法和Otsu阈值方法进行分割计算,对结果进行了对比分析,绘出了分割误差随噪音的标准差变化曲线,对噪音图象使用了不同的滤波方法处理之后,并进行计算。
In this paper, the segmentation is performed on images, which are obtained by the addition of stochastic noise, maximum a posterior (MAP) estimate method, fuzzy C-means method and thresholding method of Otsu. The analysis with contrast is done on their output, and the curves of changing segmentation error with standard variance are drawn. Then the same process is carried out on the noisy images which are filtered with different methods.
出处
《遥感学报》
EI
CSCD
1997年第4期267-271,共5页
NATIONAL REMOTE SENSING BULLETIN
关键词
图像分割
最大后验估计
模糊分类
阈值
随机噪声
Image segmentation, Maximum a posterior estimate, Fuzzy clustering, Threshold.