Comparing the Performance of Various Filters on Skin Cancer Images

Publisher:
Elsevier
Publication Type:
Journal Article
Citation:
Procedia Computer Science, 2014, 42 pp. 32 - 37
Issue Date:
2014
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Noise removing from an image is an important task in different applications such as medical which the noise free images could leads to less error detection. Filtering as a tool for noise removal is concerned in this paper. The purpose is to compare the performance of five filters - Median Filter, Adaptive Median Filter, Mean Filter, Gaussian Filter and Adaptive Wiener filter- for de-noising from Gaussian noise, Salt & Pepper noise, Poisson noise and Speckle noise.
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