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Spatial Fuzzy C-Means Clustering based Segmentation of Tumor in Vertebral Column Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 152 - Number 1 |
| Year of Publication: 2016 |
| Authors: V. Asanambigai, J. Sasikala |
10.5120/ijca2016911760
|
V. Asanambigai, J. Sasikala . Spatial Fuzzy C-Means Clustering based Segmentation of Tumor in Vertebral Column Images. International Journal of Computer Applications. 152, 1 ( Oct 2016), 37-40. DOI=10.5120/ijca2016911760
Abstract
Precise detection and segmentation of tumor that represents uncontrolled growth of tissue, in vertebral column is complex due to vertebrae shapes, gaps in the cortical bone, internal boundaries, as well as the noisy, incomplete or missing information from the MRI or CT scan images, and becomes a challenging task. This paper presents an elegant method using FCM clustering with spatial information for segmenting tumor region of such images. It segments the cluster image corresponding to the largest centroid and uses a few of the morphological operations for removing unwanted regions. It includes the results of three test images for illustrating the goodness of the proposed method.
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