article · 2015

THREE-DIMENSIONAL BIOMEDICAL IMAGE DE-NOISING

V. Musoko

Cited by 0Abstract and details only

Abstract

Abstract: The paper presents the fundamental mathematical methods used in the analysis and processing of three-dimensional (3D) image objects. The methods to be discussed include 3D discrete Fourier transform (DFT) and Wavelet transform (WT). Firstly there is a need to generate an object for testing followed by its 3D visualization and the generation of the random noise. Computer visualization and processing is applied to the 3D biomedical image data.

Cite this paper

APA 7

Musoko, V. (2015). THREE-DIMENSIONAL BIOMEDICAL IMAGE DE-NOISING.

MLA 9

Musoko, V. “THREE-DIMENSIONAL BIOMEDICAL IMAGE DE-NOISING.” 2015.

Chicago

Musoko, V. 2015. “THREE-DIMENSIONAL BIOMEDICAL IMAGE DE-NOISING.”

Harvard

Musoko, V. (2015) ‘THREE-DIMENSIONAL BIOMEDICAL IMAGE DE-NOISING’.

BibTeX

@article{musoko2015three,
  title = {{THREE-DIMENSIONAL BIOMEDICAL IMAGE DE-NOISING}},
  author = {Musoko, V.},
  year = {2015}
}

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