18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) (2005)
June 23, 2005 to June 24, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2005.54
Andr? G. R. Balan , University of S?o Paulo at S?o Carlos
Agma J. M. Traina , University of S?o Paulo at S?o Carlos
Caetano Traina Jr. , University of S?o Paulo at S?o Carlos
Paulo M. Azevedo-Marques , University of S?o Paulo at Ribeir?o Preto
This paper proposes the use of fractal analysis as a means to discriminate textured segmented regions of medical images. We show that the use of the fractals can boost the representation level of traditional image features allowing high rates of precision when answering similarity queries over images employing a variance weighted Manhattan distance. The cost to compute the fractal measurements is linear on the image size, what makes their use a suitable choice for large sets of images.
C. Traina Jr., P. M. Azevedo-Marques, A. G. Balan and A. J. Traina, "Fractal Analysis of Image Textures for Indexing and Retrieval by Content," 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)(CBMS), Dublin, Ireland, 2005, pp. 581-586.