DocumentCode
629752
Title
Fourier transforms in melanoma image classification
Author
Sokolowski, A. ; Pardela, T.
Author_Institution
Rzeszow Univ. of Technol., Rzeszow, Poland
fYear
2013
fDate
6-8 June 2013
Firstpage
386
Lastpage
389
Abstract
The proposal to use selected methods of image processing to expert system supporting the process of identifying the melanocytic skin lesions is presented. Fourier transform is well known tool for analyzing the different images. It lets the image analysis for the spatial frequencies occurring in the studying images. Skin lesions are analyzed on the base of their images and it seems that Fourier transformation is the right toll for such research. There are presented the Fourier transform properties in the paper, useful in such process.
Keywords
cancer; cellular biophysics; fast Fourier transforms; image classification; medical image processing; FFT; expert system; fast Fourier transform; image analysis; image processing; melanocytic skin lesion identification; melanoma image classification; spatial frequencies; Cancer; Fourier transforms; Image classification; Image color analysis; Lesions; Malignant tumors; Skin; FFT (Fast Fourier Transform); expert system; melanocytic skin lesions;
fLanguage
English
Publisher
ieee
Conference_Titel
Human System Interaction (HSI), 2013 The 6th International Conference on
Conference_Location
Sopot
ISSN
2158-2246
Print_ISBN
978-1-4673-5635-0
Type
conf
DOI
10.1109/HSI.2013.6577852
Filename
6577852
Link To Document