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Medical imaging is widely used in detection of tumors and other diseases. In medicine, the enormous use of digital imaging, the quality of images becomes an important issue. The basic problem found in it is the introduction various kinds of noises whose removal becomes difficult. The technologies are working on civilizing the excellence and resolution of images but these forms as one of the major face to de-noise the image and recover its perception. This paper represents the complete review of various filters and their comparative analysis which can be used with statistical parameters in digital image processing. We can simulate the various statistical parameters and view their results using plots. We can have their relative study with the aid of MATLAB simulation to relieve the selection of best filter for a particular noise introduced in MRI and USG image.
Manasi Rana. 2015. "A Review on Statistical Analysis of Filters on Various Noises in MRI and USG Images". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 15 (GJCST Volume 15 Issue G1).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 141
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: Manasi Rana (PhD/Dr. count: 0)
View Count (all-time): 388
Total Views (Real + Logic): 2876
Total Downloads (simulated): 195
Publish Date: 2015 05, Fri
Monthly Totals (Real + Logic):
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