Biomedical Image Registration Using Fuzzy Logic
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - May Issue 2013 by IJCTT Journal|
|Volume-4 Issue-5 |
|Year of Publication : 2013|
|Authors :Himadri Nath Moulick, Anindita Chatterjee|
Himadri Nath Moulick, Anindita Chatterjee"Biomedical Image Registration Using Fuzzy Logic "International Journal of Computer Trends and Technology (IJCTT),V4(5):1394-1406 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - Optimization of the similarity measure is an essential theme in medical image registration. In this paper, a novel continuous medical image registration approach (CMIR) is proposed. This is our extension work of the previous one where we did a segmentation part of any particular image with a custom algorithm .The CMIR, considering the feedback from users and their preferences on the trade-off between global registration and local registration, extracts the concerned region by user interaction and continuously optimizing the registration result. Experiment results show that CMIR is robust, and more effective compared with the basic optimization algorithm. Image registration, as a precondition of image fusion, has been a critical technique in clinical diagnosis. It can be classified into global registration and local registration. Global registration is used most frequently, which could give a good approximation in most cases and do not need to determine many parameters. Local registration can give detailed information about the concerned regions, which is the critical region in the image. Finding the maximum of the similarity measure is an essential problem in medical image registration. Our work is concentrating on that particular section with the synergy of Tpe-2 fuzzy logic invoked in it.
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Keywords — Multi-model image alignment, Extrinsic method, intrinsic method Introduction.