MRI Image Segmentation Using Gaussian Kernel Based Fuzzy C-Means Algorithm

Nookala Venu; B. Anuradha

In this paper, a new segmentation algorithm with the integration of mean, median and peak-and-valley filtering based denoising and Gaussian kernels based fuzzy cmeans (MPVKFCM) algorithm With spatial information is proposed for medical image segmentation. First, the image is denoised by using the mean, median and peak-and-valley filtering algorithm. Secondly, image segmentation algorithm with Gaussian kernels based fuzzy c-means is performed on the denoised image. The performance of the proposed algorithm is tested on OASIS-MRI image dataset. The performance is tested in terms of Score, Number of iterations (NI), Execution time (TM) and PSNR values under different Gaussian noises on OASIS-MRI dataset. The results after investigation, the proposed method shows a significant improvement as compared to other existing methods in terms of PSNR, Score, NI and TM under different Gaussian noises on OASIS-MRI dataset.

Select Volume / Issues:

• Volume 6 Issue 1, Jan. 2015

Year:

2015

Type of Publication:

Article

Keywords:

FCM; Mean Filtering; Median Filtering; Image Segmentation; Gaussian Kernal; Fuzzy; Multiple Kernal

Journal:

IJECCE

Volume:

6

Number:

1

Pages:

140-145

Month:

Jan.-Feb.

ISSN:

2249-071X