Computer aided brain tumor detection with histogram equalization and morphological image processing techniques

Author

Ulku, Eyup Emre ; Camurcu, Ali Yilmaz

Author_Institution

Comput. Eng.-Comput. Eng. Dept., Marmara-Fatih Sultan Mehmet Waqf Univ., Istanbul, Turkey

fYear

2013

fDate

7-9 Nov. 2013

Firstpage

48

Lastpage

51

Abstract

Computer-aided detection (CAD) systems help to radiology experts in mass detection using image processing techniques. This study aims to realize mass detection process on brain MRI (Magnetic Resonance Imaging) images. This paper describes the CAD system that is based on histogram equalization and morphological image processing techniques. The processes are carried out through 125 MR images which are taken from 11 people that are 8 people with tumors, 3 people without tumors. In classification stage which is the last stage of the computer-aided detection systems, 6 classification algorithms are tested in the RapidMiner program, and these algorithms are compared with each other to show CAD system accuracy.

Keywords

biomedical MRI; brain; image classification; medical image processing; object detection; tumours; CAD system; RapidMiner program; brain MRI; classification stage; computer aided brain tumor detection; histogram equalization; magnetic resonance imaging; mass detection process; morphological image processing techniques; Classification algorithms; Design automation; Feature extraction; Histograms; Image segmentation; Tumors; Brain Tumor Detection; CAD system; Histogram Equalization; Image Processing; Morphological Detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Computer and Computation (ICECCO), 2013 International Conference on

Conference_Location

Ankara

Type

conf

DOI

10.1109/ICECCO.2013.6718225

Filename

6718225