Title :
Fourier transforms in melanoma image classification
Author :
Sokolowski, A. ; Pardela, T.
Author_Institution :
Rzeszow Univ. of Technol., Rzeszow, Poland
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;
Conference_Titel :
Human System Interaction (HSI), 2013 The 6th International Conference on
Conference_Location :
Sopot
Print_ISBN :
978-1-4673-5635-0
DOI :
10.1109/HSI.2013.6577852
