Comparative Analysis of Different Algorithms for Brain Tumor Detection
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

Comparative Analysis of Different Algorithms for Brain Tumor Detection

Richa Aggarwal, Amanpreet Kaur

Brain tumor is one of the major causes of death among people. It is evident that the chances of survival can be increased if the tumor is detected and classified correctly at its early stage. The segmentation of brain tumors in magnetic resonance images (MRI) is a challenging and difficult task because of the variety of their possible shapes; locations; image intensities. In this paper; it is intended to summarize and compare the methods of automatic detection of brain tumor through Magnetic Resonance Image using Histogram Thresholding with FCM; Region growing; K-mean and Watershed segmentation. The proposed method can be successfully applied to detect the contour of the tumor and its geometrical dimension. MRI brain tumor images detection is a difficult task due to the variance and complexity of tumors. This paper presents three techniques for the detection purpose; first one is Histogram Thresholding; Second K-mean; third is FCM; fourth is Region growing technique and fifth is Watershed segmentation. In this paper; the purposed method is more accurate and effective for the brain tumor detection and segmentation for MRI (DICOM) images. For the implementation of this proposed work we use the Image Processing Toolbox under MATLAB Software.

Keywords: Histogram Thresholding, region growing, FCM, K-mean and Watershed segmentation

Edition: Volume 3 Issue 6, June 2014

Pages: 1159 - 1163

Share this Article

How to Cite this Article?

Richa Aggarwal, Amanpreet Kaur, "Comparative Analysis of Different Algorithms for Brain Tumor Detection", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2014413, Volume 3 Issue 6, June 2014, 1159 - 1163

135 PDF Views | 112 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Histogram Thresholding'

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 1159 - 1163

Comparative Analysis of Different Algorithms for Brain Tumor Detection

Richa Aggarwal, Amanpreet Kaur

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017

Pages: 1602 - 1607

Automated Blood Cell Counting System Using Customized Hough Transform

Rasika D Wattamwar, Dr. Mrs. Sadhana Chidrawar

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 2 Issue 2, February 2013

Pages: 191 - 199

Comparative Study of Wavelet Adaptive Windowing Method an Effective Technique for Tumor Detection in Mammilla (Bosom)

Jayashree R.Parate, R.K.Krishna

Share this Article

Similar Articles with Keyword 'region growing'

Research Paper, Computer Science & Engineering, India, Volume 7 Issue 10, October 2018

Pages: 1570 - 1574

Region Based Approach for Pectoral Muscle Isolation

Dr. Indra Kanta Maitra, Samir Kumar Bandyopadhyay

Share this Article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 712 - 715

Region Growing and Object Extraction Techniques

Amarpreet Kaur, Navpreet Singh

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 1920 - 1924

Diagnosis of ADHD using Brain Imaging Technique: A Survey

R. Subhulakshmi

Share this Article

Research Paper, Computer Science & Engineering, Iraq, Volume 6 Issue 5, May 2017

Pages: 1592 - 1595

Automatic Brain Tumor Segmentation from MRI Images Using Region Growing Algorithm

Loay K. Abood, Raghda A. Ali, Makki Maliki

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 1159 - 1163

Comparative Analysis of Different Algorithms for Brain Tumor Detection

Richa Aggarwal, Amanpreet Kaur

Share this Article

Similar Articles with Keyword 'FCM'

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 5, May 2016

Pages: 1980 - 1983

A Review on Clustering of Uncertain Data

Manisha Padole, Sonali Bodkhe

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 5 Issue 5, May 2016

Pages: 955 - 959

A Hybrid Approach of Fuzzy C-mean Clustering and Genetic Algorithm (GA) to Improve Intrusion Detection Rate

Kamaldeep Kaur, Navjot Kaur

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015

Pages: 2081 - 2085

Cloud Based Task Scheduling Using Fuzzy C-Means and Linear Programming Approach

Mahesh S. Shinde, Anilkumar Kadam

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 2628 - 2633

Comparison of Fuzzy Algorithms on Images

Vikrant Dabas, Sachin Nandal, Prakhar Dogra

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 1159 - 1163

Comparative Analysis of Different Algorithms for Brain Tumor Detection

Richa Aggarwal, Amanpreet Kaur

Share this Article
Top