TY - GEN
T1 - An improved Kernel-based fuzzy C-means algorithm with spatial information for brain MR image segmentation
AU - Xu, Rong
AU - Ohya, Jun
PY - 2010/12/1
Y1 - 2010/12/1
N2 - In this paper, we propose an improved Kernel-based Fuzzy C-means Algorithm (iKFCM) with spatial information to reduce the effect of noise for brain MR image segmentation. We use k-nearest neighbour model and a neighbourhood controlling factor by estimating image contextual constraints to optimize the objective function of conventional KFCM method. Conventional KFCM algorithms classify each pixel in image only by its own gray value, but the proposed method classifies by the gray values of its neighbourhood system. For this reason, the proposed iKFCM has a strong robustness for image noise in image segmentation. In experiments, some synthetic grayscale images and simulated brain MR images are used to assess the performance of iKFCM in comparison with other fuzzy clustering methods. The experimental results show that the proposed iKFCM method achieves a better segmentation performance than other fuzzy clustering methods.
AB - In this paper, we propose an improved Kernel-based Fuzzy C-means Algorithm (iKFCM) with spatial information to reduce the effect of noise for brain MR image segmentation. We use k-nearest neighbour model and a neighbourhood controlling factor by estimating image contextual constraints to optimize the objective function of conventional KFCM method. Conventional KFCM algorithms classify each pixel in image only by its own gray value, but the proposed method classifies by the gray values of its neighbourhood system. For this reason, the proposed iKFCM has a strong robustness for image noise in image segmentation. In experiments, some synthetic grayscale images and simulated brain MR images are used to assess the performance of iKFCM in comparison with other fuzzy clustering methods. The experimental results show that the proposed iKFCM method achieves a better segmentation performance than other fuzzy clustering methods.
KW - Fuzzy clustering
KW - Kernel-based fuzzy c-means (KFCM)
KW - brain MR images
KW - image segmentation
KW - spatial information
UR - http://www.scopus.com/inward/record.url?scp=84858956054&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858956054&partnerID=8YFLogxK
U2 - 10.1109/IVCNZ.2010.6148819
DO - 10.1109/IVCNZ.2010.6148819
M3 - Conference contribution
AN - SCOPUS:84858956054
SN - 9781424496303
T3 - International Conference Image and Vision Computing New Zealand
BT - IVCNZ 2010 - 25th International Conference of Image and Vision Computing New Zealand
T2 - 25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010
Y2 - 8 November 2010 through 9 November 2010
ER -