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Genetic Algorithm and Fisher Discriminant Analysis based Wavelet Thresholding for Speckle Noise Filtering in Ultrasound Images

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Authors:
Shisir Mia, Md. Mahfuz Reza, Mohammad Motiur Rahman
10.5120/ijca2021921231

Shisir Mia, Md. Mahfuz Reza and Mohammad Motiur Rahman. Genetic Algorithm and Fisher Discriminant Analysis based Wavelet Thresholding for Speckle Noise Filtering in Ultrasound Images. International Journal of Computer Applications 174(30):13-18, April 2021. BibTeX

@article{10.5120/ijca2021921231,
	author = {Shisir Mia and Md. Mahfuz Reza and Mohammad Motiur Rahman},
	title = {Genetic Algorithm and Fisher Discriminant Analysis based Wavelet Thresholding for Speckle Noise Filtering in Ultrasound Images},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2021},
	volume = {174},
	number = {30},
	month = {Apr},
	year = {2021},
	issn = {0975-8887},
	pages = {13-18},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume174/number30/31869-2021921231},
	doi = {10.5120/ijca2021921231},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Speckle noise is a significant property of medical ultrasound imaging, and it typically degrades the resolution and contrast of images, sinking the diagnostic importance of the imaging modality. As a consequence, filtering speckle noise in the ultrasound images is a critical step for further analysis by the medical experts. In this paper, a speckle noise filtering technique have been suggested via wavelet thresholding for denosing ultrasound images. For each wavelet coefficient, in the first step, two optimal threshold parameters are estimated through the genetic algorithm and fisher discriminant analysis respectively. In the second step, thresholding of wavelet coefficient is performed by both threshold parameters. Finally, thresholded coefficient which corresponds to lowest mean square error is selected for obtaining the denoised ultrasound image. Results show that, the proposed technique outperforms different existing denoising techniques.

References

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Keywords

Genetic Algorithm; Fisher Discriminant Analysis; Speckle Noise; Ultrasound Image; Wavelet Transform