Correction of Intensity In-Homogeneity of MR Image Based on Average Median Intensity Value Method
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2015 by IJCTT Journal|
|Year of Publication : 2015|
|Authors : R. Rubesh Selvakumar, C G Ravichandran|
|DOI : 10.14445/22312803/IJCTT-V28P119|
R. Rubesh Selvakumar, C G Ravichandran "Correction of Intensity In-Homogeneity of MR Image Based on Average Median Intensity Value Method". International Journal of Computer Trends and Technology (IJCTT) V28(2):107-110, October 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
The Magnetic Resonance Image (MRI) may be valuable techniques for learning the structural property of the human brain. However, the reproducibility of imaging results, that arises from swish intensity variation happens the entirety MR image, named as Intensity in-homogeneity or nonuniformity. The intensity in-homogeneity may be a hurdles encountered in human and computer interpretations and analysis of MRI. Automated methods for MRI non-homogeneity correction could fails as a result of resolution because solution for them need identification regions on behalf of an equivalent tissue for a a varietyof various tissue, regardless of the approach could fails this job. Normally, MRI brain image contain intensity inhomogeneity. Therefore accurate process of brain image may be a terribly trouble some task. Thus will use one amongst the correction technique could useful for proper diagnosis for clinical purpose and conjointly segmentation of the image process or segmentation primarily based fusion process. During this paper, we tend to project a brand new technique on the Average Median Intensity Value. This algorithm initial to ascertain the background and foreground voxels then estimate the intensity value of foreground and replacement all the values of background voxels by average median intensity value. This computation time is quick and best compared with the prevailing algorithms, analysis primarily based results is nice for than the source image.
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MRI, in-homogeneity, Average Median Intensity.