DocumentCode
2795568
Title
Wavelet maxima based lacunarity texture analysis
Author
Bogdan, Alexandru
Author_Institution
Electro Opt. Sci. Inc., Irvington, NJ, USA
fYear
2010
fDate
14-19 March 2010
Firstpage
1098
Lastpage
1101
Abstract
We present a new method that extracts lacunarity descriptors from textured regions using wavelet maxima. The distributions of the local wavelet maxima density in a sliding window over the region of interest are compared using different method in order to generate lacunarity parameters. The algorithms have been tested on data from the MelaFind skin cancer diagnostic image database.
Keywords
cancer; image texture; medical image processing; skin; wavelet transforms; lacunarity descriptors; lacunarity texture analysis; local wavelet maxima density distribution; skin cancer; textured regions; wavelet transform; Continuous wavelet transforms; Data mining; Fractals; Lesions; Malignant tumors; Parameter estimation; Signal analysis; Skin cancer; Wavelet analysis; Wavelet transforms; fractal lacunarity; texture analysis; wavelet maxima;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495349
Filename
5495349
Link To Document