A fast structure-adaptive evaluation of local features in images

摘要

An image model for structure-adaptive evaluation or a feature of a pixel value in images is introduced using notions of a structuring element and structuring regions. Based on this model a fast and adaptive procedure for edge-preserving smoothing and change detection in images has been developed. For the problem of noise filtering and edge detection it cleans out the noise and at the same time does not blur the edges. To evaluate one pixel value the computational complexity of the fast algorithm is reduced to O(L2) per pixel, compared with the direct implementation complexity O(L4), where L × L is the window size for feature evaluation.