An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation

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Anam Mustaqeem 1,* Engr Ali Javed 1 Tehseen Fatima 1

1. Department of Software Engineering, UET Taxila

* Corresponding author.


Received: 5 Jun. 2012 / Revised: 12 Jul. 2012 / Accepted: 16 Aug. 2012 / Published: 28 Sep. 2012

Index Terms

Brain Tumor, MRI, Morphological Operators, Segmentation


During past few years, brain tumor segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. Brain tumor detection helps in finding the exact size and location of tumor. An efficient algorithm is proposed in this paper for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image is enhanced and then morphological operators are applied to detect the tumor in the scanned image.

Cite This Paper

Anam Mustaqeem,Ali Javed,Tehseen Fatima,"An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation", IJIGSP, vol.4, no.10, pp.34-39, 2012. DOI: 10.5815/ijigsp.2012.10.05 


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