关键词: 计算机应用, 均值漂移, 尺度空间滤波, 核函数

Abstract: To solve the problem of how to choose appropriate kernel bandwidths in mean shift filtering, the relationship between mean shift and scale space filtering was analyzed. The analysis showed that when normal kernel is adopted, mean shift is a clustering method based on Gaussian scale space filtering. On the basis of this analysis, a non-linear scale space filtering method relying on mean shift was presented. The proposed filter was controlled only by kernel bandwidth in spatial domain that was chosen at every sample point adaptively by local signal characteristic. Experiments show that his method overcomes the defect of blocky effect in mean shift filtering, and is superior to mean shift filtering, Gaussian scale space filtering and median filter.

Key words: computer application, mean shift, scale space filtering, kernel function