2012
DOI: 10.1155/2012/830252
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Abstract: Medical image segmentation is an essential and challenging aspect in computer-aided diagnosis and also in pattern recognition research. This paper proposes a hybrid method for magnetic resonance (MR) image segmentation. We first remove impulsive noise inherent in MR images by utilizing a vector median filter. Subsequently, Otsu thresholding is used as an initial coarse segmentation method that finds the homogeneous regions of the input image. Finally, an enhanced suppressed fuzzy c-means is used to partition b… Show more

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Cited by 42 publications
(21 citation statements)
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“…Figure 1(c) is the gray scale transformed image with corrected background. Figure 1(d) is the thresholded image that separated brighter from darker pixels based on automated threshold calculation based on the Otsu's method [20]. Figure 1(e) illustrates the elimination of stray pixels outside and inside the mole's region.…”
Section: Methodsmentioning
confidence: 99%
“…Figure 1(c) is the gray scale transformed image with corrected background. Figure 1(d) is the thresholded image that separated brighter from darker pixels based on automated threshold calculation based on the Otsu's method [20]. Figure 1(e) illustrates the elimination of stray pixels outside and inside the mole's region.…”
Section: Methodsmentioning
confidence: 99%
“…Hybrid techniques [7] for medical image segmentation is an advanced methodology mostly used in medical fields such as in x-ray machines, MRI scans, etc. but the disadvantage is that this technique need to be used as embedded software and these machines are very costly compared to our proposed methodology.…”
Section: K-nearestmentioning
confidence: 99%
“…α is updated each iteration and successful used in MRI segmentation [13]. And then there are many researchers pay close attention to parameter selection, just like Huang et al gave Cauchy formula [14], Nyma et al gave exponent formula [15], Li et al gave fuzzy deviation exponent formula [16], and Saad et al gave the clarity formula [17]. However, these selection strategy made the parameter α is changed in each iteration.…”
Section: Introductionmentioning
confidence: 99%