A Segmented Morphological Approach to Detect Tumour in Brain Images

Parameshwarappa, Vinay and Nandish, S (2014) A Segmented Morphological Approach to Detect Tumour in Brain Images. International Journal of Advanced Research in Computer Science and Software Engineering, 4 (1). pp. 408-412. ISSN 2277- 128X

[img] PDF
Nandish_IJARCSSE.pdf - Published Version
Restricted to Registered users only

Download (573kB) | Request a copy
Official URL: http://www.ijarcsse.com

Abstract

Image processing techniques are been widely used in medical imaging research. These techniques are useful for visualization, enhancements, segmentation and many more operations which are useful for processing medical images which maybe MRI, CT or any other images obtained through one of the imaging modality. One of the benefits of using these techniques is to detect any abnormality in the medical images. Some of these abnormalities include tumor, blocked vessels or sometimes broken joints. In this paper we are detecting one such abnormality observed in brain images. Using some of the classical image processing tools we are able to detect and segment tumors in the brain. The segmentation of brain tumors helps in knowing the exact size and shape of the tumor and the location. Firstly we have used some image enhancement techniques to enhance the contrast and normalize the pixel values in the image. Then we apply Fast Fourier Transform after that we have applied some morphological operations to get the desired results. The algorithm is been used on different images of the brain detected with tumor and has always given us the correct desired output

Item Type: Article
Uncontrolled Keywords: Visualization; Enhancement; Segmentation; Morphological Operations; Fast Fourier Transform
Subjects: Information Sciences > MCIS Manipal
Depositing User: MIT Library
Date Deposited: 21 Apr 2016 09:42
Last Modified: 21 Apr 2016 09:42
URI: http://eprints.manipal.edu/id/eprint/145904

Actions (login required)

View Item View Item