2013
DOI: 10.14257/ijsip.2013.6.5.10
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Effect of Noise in Estimation of Fractal Dimension of Digital Images

Abstract: In present paper the effect of noise on fractal dimension of digital images has been tested.

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Cited by 8 publications
(3 citation statements)
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“…The highest values were around 1.4 but these are sometimes found in fields with very low column densities where the values are affected by observational noise and even the extragalactic background. Both act as noise, which tends to increase the D P values (Vogelaar & Wakker 1994;Pant 2013).…”
Section: Fractal Dimensionmentioning
confidence: 99%
“…The highest values were around 1.4 but these are sometimes found in fields with very low column densities where the values are affected by observational noise and even the extragalactic background. Both act as noise, which tends to increase the D P values (Vogelaar & Wakker 1994;Pant 2013).…”
Section: Fractal Dimensionmentioning
confidence: 99%
“…Note that both of these objects are self-similar. We may break a line segment into 4 self-similar intervals, each with the same length, and each of which can be magnified by a factor of 4 to yield the original segment [1,16]. We can also break a line segment into 7 self-similar pieces, each with magnification factor 7, or 20 self-similar pieces with magnification factor 20.…”
Section: Fractal Dimensionmentioning
confidence: 99%
“…Manoj Kumar et.al [12] modified Clarke's original Triangular Prism Surface Area Method to estimate fractal dimensions of gray scale images. The effects of noise on the values of fractal dimensions of digital images were discussed by T. Pant [13]. Gaussian noise, salt and pepper noise and speckle noise were applied to the digital images to generate noisy images.…”
Section: A Literature Reviewmentioning
confidence: 99%