A Novel Approach for Detection and Analysis of Brain Tumor

The proposed brain tumor detection and localization framework comprises following steps: (i) Image acquisition, (ii) Preprocessing, (iii) Edge detection, (iv) Morphological operations. After thresholding operations, tumors appear as pure white color on pure black backgrounds. The algorithm has two stages, first is pre-processing of given MRI image and after that segmentation is done. - Image acquisition (gathering of MRI scanned images). - Images stored in MATLAB in form of 2-D matrix. - Preprocessing is done (i) Image acquisition (gathering of MRI scanned images). (ii) Edge detection through median filtering. (iii) Image dilation - Processing stage It includes analysis on 2-D image through MATLAB commands,extraction of tumor portion is done with the help of segmentation methods.

A propos de l'auteur

Medical image processing is the most challenging and emerging field now a day¿s. In this field, detection of brain tumor from MRI brain scan has become one of the most challenging problems, due to the complex structure of brain.A computer aided diagnostic system has been proposed here for detecting the tumor texture in biological study.

Détails du produit

• Auteurs: Monika Jain, Shivank Jaiswal, Shivanky Jaiswal, Mayan Yadav, Mayank Yadav
• Edition: LAP Lambert Academic Publishing
• Langues: Anglais, Allemand
• Format d'édition: Livre de poche
• Sortie: 31.07.2015
• EAN: 9783659745041
• ISBN: 978-3-659-74504-1
• Pages: 84
• Catégorie: Sciences naturelles, médecine, informatique, technique > Mathématiques > Analyse