Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images

Washington D.C. October 23-October 26

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http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537512

1995 International Conference on Imag ...

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	ASCII Text	x
	Chi-hsin Wu, P.C. Doerschuk, "Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images," Image Processing, International Conference on, vol. 2, pp. 2449, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995.

	BibTex	x
	@article{ 10.1109/ICIP.1995.537512, author = {Chi-hsin Wu and P.C. Doerschuk}, title = {Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images}, journal ={Image Processing, International Conference on}, volume = {2}, year = {1995}, isbn = {0-8186-7310-9}, pages = {2449}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537512}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Processing, International Conference on TI - Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images SN - 0-8186-7310-9 SP EP A1 - Chi-hsin Wu, A1 - P.C. Doerschuk, PY - 1995 KW - computerised tomography; medical image processing; image restoration; image segmentation; Markov processes; random processes; Bayes methods; edge detection; approximation theory; cluster approximation; tomographic images; image restoration; image segmentation; Bayesian restoration algorithm; Bayesian segmentation algorithm; pixel-line Markov random field; approximation; interactions locality; medical tomography VL - 2 JA - Image Processing, International Conference on ER -

Chi-hsin Wu, Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA

P.C. Doerschuk, Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA

We describe a Bayesian restoration and segmentation algorithm based on a pixel-line Markov random field and using an efficient approximation based on locality of interactions. A medical tomography example is given.

Index Terms:

computerised tomography; medical image processing; image restoration; image segmentation; Markov processes; random processes; Bayes methods; edge detection; approximation theory; cluster approximation; tomographic images; image restoration; image segmentation; Bayesian restoration algorithm; Bayesian segmentation algorithm; pixel-line Markov random field; approximation; interactions locality; medical tomography

Citation:

Chi-hsin Wu, P.C. Doerschuk, "Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images," icip, vol. 2, pp.2449, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995

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