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