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One of the challenging topics in image processing is extracting the shapes from noisy backgrounds. There are some methods for doing it from different kinds of noisy backgrounds. In this paper, we are going to introduce another method by using 4 steps to extract circular shapes from impulse noisy backgrounds. First step is applying median filter to disappear “salt and pepper” noise. This step causes edge smoothing. So, as the second step, a laplacian sharpening spatial filter should be applied. It highlights fine details and enhances the blurred edges. Using these two steps sequentially causes noise reduction in an impressive way. Third step is using Canny edge detection for segmenting the image. Its algorithm is talked during the paper. Finally, forth step is applying Circular Hough Transform (CHT) for detecting the circles in image. At the end of paper different use cases of this method is investigated.
Masoud Nosrati, Ronak Karimi. 1970. "Detecting circular shapes from areal images using median filter and CHT". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 2).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 128
Country: Iran
Subject: Global Journal of Computer Science and Technology
Authors: Dr. Masoud Nosrati,Ronak Karimi,Mehdi Hariri (PhD/Dr. count: 1)
View Count (all-time): 228
Total Views (Real + Logic): 7098
Total Downloads (simulated): 576
Publish Date: 2012 05, Tue
Monthly Totals (Real + Logic):
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