Anisotropic Diffusion by a Recursive Linear Convolving Method : Application to Space-time Segmentation and Pattern Recognition

This paper presents a recursive linear convolving method to performe anisotropic diffusion in images. The proposed method based on the linear filtering technique gives an useful evolving interface in boundary propagating. The novel approach is that there is not need to estimate local and global properties previously of the concerned propagating boundary, it making a fast algorithm. However these properties can be obtained directly from the evolving interface in our proposed method. Since the proposed method, formulated in the continuous space, can be implemented efficiently and with robustness in the discrete space, we propose practical applications like space-time segmentation and pattern recognition.