Filtering Approaches in Medical Image Processing: A Tutorial

Authors

  • Muhammad Fateh Khan Sial Assistant Professor, Department of Electrical Engineering, The University of Lahore, Defense Road, Lahore, Pakistan, 54700

Keywords:

image acquisition, image analysis, statistical based filters, noise, optimal filters, adaptive filters.

Abstract

This paper presents popular filtering approaches adopted in medical image processing. It is aimed to serve as a beginner’s guide in Medical Image processing to undergraduate and graduate students of Electrical engineering and Computer science. A general overview of various steps involved in medical image acquisition and analysis is presented. Various statistical distributions representing practical noise problems in images are indicated and corresponding filtering techniques like statistics based filters, frequency domain filters, optimal and adaptive filters have been briefly discussed.

References

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R. M. Rangayyan. Biomedical Signal Analysis: A Case-Study Approach. New York NY: Wiley 2002.

R. C. Gonzalez, P. Wintz. Digital Image Processing. MA Reading: Addison-Wesley 1987.

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P. Dhawan, R. M. Rangayyan, R. Gordon, "Image restoration by Wiener deconvolution in limited-view computed tomography" Applied Optics vol. 24 pp. 4013-4020 December 1985.

N. V. Thakor and Y. S. Zhu "Applications of adaptive filtering to ECG analysis: Noise cancellation and arrhythmia detection " IEEE Trans. Biomedical Engineering vol. 38 no. 8 pp. 785-794 1991.

Rangayyan RM, Ciuc M, Faghih F, “Adaptive Neighborhood filtering of images corrupted by signal-dependant noise” Applied Optics, 37(20): 4477-4487,1998.

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Published

2018-10-05

How to Cite

Khan Sial, M. F. (2018). Filtering Approaches in Medical Image Processing: A Tutorial. International Journal of Computer (IJC), 31(1), 26–33. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1297

Issue

Vol. 31 No. 1 (2018)

Section

Articles

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