Fr. 47.50

Segmentation of Brain Tumor From MRI Images - Using Fuzzy C-Means Clustering and Seeded Region Growth

English · Paperback / Softback

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Description

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In this book, a segmentation method for automatic detection and extraction of brain tumor from Magnetic Resonance Imaging (MRI) images using fuzzy c-means (FCM) clustering and seeded region growth is being presented. The MRI technique provides an excellent contrast between the brain tissues and the tumour tissues. The area containing the tumour is brighter in intensity than the area of healthy brain tissues. The image processing techniques and algorithms are applied on the MRI images of the brain tumour. These images are provided as input to the MATLAB software and pre-processing operations viz., image resizing and conversion to grayscale are applied on this input image. The image is then enhanced using the two-dimensional wavelet decomposition in such a way that the finer details in the image are improved. After the enhancement operation, fuzzy c-means clustering (FCM) is applied for segmentation, which divides the image into a number of clusters, on the basis of intensity values of the pixels.

About the author










O Dr Reecha Sharma está a trabalhar como Professor Assistente no Deptt da ECE Punjabi University Patiala, Índia. Ela tem treze anos de experiência de ensino. Publicou mais de 60 artigos de investigação em revistas e conferências internacionais/nacionais. Orientou 23 estudantes de M.Tech, tendo publicado 7 livros electrónicos. A sua área de investigação é DIP.

Product details

Authors Harsimranjot Kaur, Reecha Sharma
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 11.09.2017
 
EAN 9786202025072
ISBN 978-620-2-02507-2
No. of pages 88
Dimensions 150 mm x 220 mm x 6 mm
Weight 149 g
Subject Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering

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