DocumentCode :
584765
Title :
Generalized fractal dimensions in the recognition of Noise Free Images
Author :
Uthayakumar, R. ; Easwaramoorthy, D.
Author_Institution :
Dept. of Math., Gandhigram Rural Inst., Dindigul, India
fYear :
2012
fDate :
26-28 July 2012
Firstpage :
1
Lastpage :
5
Abstract :
Identification of noise free images is very important task in the image processing. In this paper, we invoke the multifractal analysis in the recognition of noise free images by using Generalized Fractal Dimensions (GFD). Generalized Fractal Dimensions is the measure of complexity and the chaotic nature (irregularity) in the fractal images or corrupted images. In this technique, Median Filter is used to denoise the images corrupted by the Salt and Pepper Noise. It was shown that GFD measure discriminates the Noisy and Noise Free Images very accurately and demonstrated by the graphical methods for the standard images. This multifractal measure is a non-linear technique and it is a very efficient tool in the image analysis to detect the noiseless images.
Keywords :
chaos; computational complexity; fractals; image recognition; median filters; GFD; chaotic nature; complexity measure; fractal images; generalized fractal dimensions; median filter; multifractal analysis; noise free image recognition; nonlinear technique; salt-and-pepper noise; Biomedical imaging; Entropy; Fractals; Materials requirements planning; Nonhomogeneous media; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICCCNT.2012.6395887
Filename :
6395887
Link To Document :
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