Abstract
This paper presents a method that integrates fractal dimension and edge information into a region growing algorithm for segmentation of natural images. The local fractal dimension is estimated by two methods, one based on the 1-D Fourier-wavelet transform and the other on the 2-D Fourier transform. The algorithm also consists of a technique which stores edge informaiton 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. Experimental results are presented to evaluate the performance of the methods.
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© 1997 Springer-Verlag Berlin Heidelberg
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Anh, V., Maeda, J., Ishizaka, T., Suzuki, Y., Tieng, Q. (1997). Two-dimensional fractal segmentation of natural images. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63507-6_213
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DOI: https://doi.org/10.1007/3-540-63507-6_213
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