Image Segmentation Using K- Means Clustering Method for Brain Tumour Detection

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Brain tumour is an irregular development by cells imitating among them in an unstoppable way. Specific identification of size and area of Brain tumour assumes a fundamental part in the analysis of tumour. Image processing is a dynamic research territory in which processing of image in medical field is an exceedingly difficult field. Segmentation of image assumes a critical part in handling of image as it helps in the finding of suspicious districts from the restorative image. In this paper a proficient algorithm is proposed for detection of tumour based on segmentation of brain by means of clustering technique. The main idea in this clustering algorithm is to transfer  a given gray-level image and then separate  tumour objects position  from other items of an MR image by using K-means clustering. Experiments say that segmentation for MR brain images can be done to help medical professionals to identify exactly size and region of the tumour located area in brain.

     

     


  • Keywords


    Segmentation, clustering, Brain tumour, k-means, Magnetic Resonance Imaging (MRI)

  • References


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Article ID: 15058
 
DOI: 10.14419/ijet.v7i2.19.15058




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