Integration of local fractal dimension and boundary edge in segmenting natural images
Junji Maeda, Vo Anh, Tohru Ishizaka, Yudai Suzuki · 2002
We present a method that integrates local fractal dimension and edge information into a region growing algorithm for the segmentation of natural images. We compare two methods of estimating the local fractal dimension in the proposed segmentation algorithm. One is a blanket method and the other is a Fourier-wavelet method. We also propose a technique to store the edge information not on a pixel itself but on a boundary between pixels in the region-edge integrating algorithm in order to use the edge information more effectively and to simplify the algorithm.