Title :
Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images
Author :
Wu, Chi-h Sin ; Doerschuk, Peter C.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
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
Keywords :
Bayes methods; Markov processes; approximation theory; computerised tomography; edge detection; image restoration; image segmentation; medical image processing; random processes; Bayesian restoration algorithm; Bayesian segmentation algorithm; approximation; cluster approximation; image restoration; image segmentation; interactions locality; medical tomography; pixel-line Markov random field; tomographic images; Additive noise; Bayesian methods; Biomedical imaging; Costs; Image restoration; Image segmentation; Internet; Markov random fields; Pixel; Tomography;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537512
