Image Noise Suppression Using Color Morphological Filter
Author(s) -
Samia Shamaon Lazar
Publication year - 2010
Publication title -
mağallaẗ al-tarbiyaẗ wa-al-ʻilm
Language(s) - English
Resource type - Journals
eISSN - 2664-2530
pISSN - 1812-125X
DOI - 10.33899/edusj.2010.59252
Subject(s) - grayscale , artificial intelligence , computer vision , computer science , binary image , salt and pepper noise , color image , noise (video) , median filter , mathematical morphology , pattern recognition (psychology) , filter (signal processing) , feature (linguistics) , color histogram , image processing , image (mathematics) , linguistics , philosophy
Morphological filtering is a useful technique for processing and analyzing binary and grayscale images. These filters are effective in impulsive noise filtering, feature extracting, and images enhancing. So it is important to find out method for applying morphological technique on color image and keep the colors unchanged at the same time. This paper deals with the use of morphological filters for suppression "salt & pepper" noise in color images. We have used "component-wise approach", in which grayscale morphological operations are applied to each of the three colors image components independently. We present experimental results of applying this approach for the application of noise suppression in color images.
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