IJMTES – BRAIN TUMOR IDENTIFICATION AND SEGMENTATION ON MRI IMAGES

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : BRAIN TUMOR IDENTIFICATION AND SEGMENTATION ON MRI IMAGES

Author’s Name : K Marimuthu | K Nandhagopal | V Suvethaunnamed

Volume 04 Issue 03 2017

ISSN no:  2348-3121

Page no: 10-13

Abstract – The edge detection plays a vital role in medical application, edges characterize boundaries area unit basic downside in image process. To discover weak edges of the brain numerous algorithms area unit used. a number of them area unit clever, cellular automata (CA), sobel, etc., however the higher than algorithms have some disadvantages like price, complexity, efficiency. during this project illustrates the approach by watershed formula police investigation the weak fringe of brain by segmenting the given imaging image. we are able to simply phase the imaging image with the assistance of this formula and therefore the whole space of the image was totally lined. This technique is straightforward and intuitive in approach and provides higher process potency together with the precise segmentation of a picture. With facilitate of this segmentation we are able to simply discover the weak edge.

KeywordsCanny, Cellular Automata (CA), Weak Edge, Watershed Segmentation, Magnetic Resonance Imaging (MRI)

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