|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 181 - Issue 24 |
| Published: Oct 2018 |
| Authors: Sangita A. Dubey, Vijay R. Rathod |
10.5120/ijca2018918024
|
Sangita A. Dubey, Vijay R. Rathod . Biomedical Image Analysis using Region Growing Segmentation Approach. International Journal of Computer Applications. 181, 24 (Oct 2018), 23-25. DOI=10.5120/ijca2018918024
@article{ 10.5120/ijca2018918024,
author = { Sangita A. Dubey,Vijay R. Rathod },
title = { Biomedical Image Analysis using Region Growing Segmentation Approach },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 181 },
number = { 24 },
pages = { 23-25 },
doi = { 10.5120/ijca2018918024 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Sangita A. Dubey
%A Vijay R. Rathod
%T Biomedical Image Analysis using Region Growing Segmentation Approach%T
%J International Journal of Computer Applications
%V 181
%N 24
%P 23-25
%R 10.5120/ijca2018918024
%I Foundation of Computer Science (FCS), NY, USA
This paper presents an efficient detection method to highlight the tumors present in brain images. The obtained results further help in finding the size and location of the tumor. The method is applied on brain images having tumors. Using region-growing method we merge the adjacent detected pixels on homogeneity criteria, to obtain the flaws. Region growing starts with seed(s). The seed value is determined with the help of histogram analysis. The peaks and valleys of histogram help in determining the seed value. The developed algorithm is explained and applied on the welding images and some preliminary results are shown which are found encouraging.