Open Access Open Access  Restricted Access Subscription or Fee Access

An Approach of using Spatial Fuzzy and Level Set Method for Brain Tumor Segmentation

. Virupakshappa, Basavaraj Amarapur


In the present situation it is very necessary for detection of different brain tumors. In this perspective there are plenty of techniques considered in the field of image processing which are introduced and implemented. The work in this paper presents an efficient method for separating tumor region from the segmented image by computer based analysis of MRI of brain. Main focus in this work is for accurate tumor segmentation by applying Spatial Fuzzy Clustering technique. This is a hybrid clustering technique obtained by combining two efficient clustering techniques namely level set and fuzzy c means techniques of clustering. From the fuzzy c-means clustering technique from the results of fuzzy it will be comparatively easy to estimate the segmentation level by controlling parameters; this is effectively achieved by combining both the algorithm to form spatial fuzzy clustering techniques. Such enhancement leads to accurate image segmentation. This is a compatible and effective method for segmentation proved from the outcome of the work proposed. An experimental result witnesses the effect of presented methodology with the overall accuracy of 94.32 %.


Spatial Fuzzy Clustering, Fuzzy clustering, Level set segmentation and Magnetic Resonance Image (MRI).

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.