Comparison of Signal to Noise Ratio of Colored and Gray Scale Image in Clustered Condition from the Contours of the Images with the Help of Different Image Filtering Method
Abir Chakraborty
Abir Chakraborty, Department of Computer Science, Project Work Team Fellow, University of Coimbra.
Manuscript received on 14 March 2024 | Revised Manuscript received on 21 March 2024 | Manuscript Accepted on 15 April 2024 | Manuscript published on 30 May 2024 | PP: 10-14 | Volume-4 Issue-3, April 2024 | Retrieval Number: 100.1/ijipr.D102904040624 | DOI: 10.54105/ijipr.D1029.04030424
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As we know the image can be processed with the help of different types of coding for example mat-lab. Here in this paper we are primarily focusing on some common filtering methodologies [5] related to image contour in clustered conditions. For filtering purpose in this paper we have used three different filtering technologies such as prewitt [3], sobel [3], canny [3] filtering. But on the other hand we have used both colored [1] and non-colored [3] images for clustering operations. Our main aim in this paper to show variations of signal to noise ratios for the colored and non-colored contour images with and without filtering. As per my request study the discussion of results very carefully to realize the deeper meaning of the journal [4].
Keywords: RGB, Lab, Gray, Contour, Prewitt, Sobel, Canny Filtering, Median, Coefficient Filtering.
Scope of the Article: Communication of Visual Data