Roshan G. Selkar, S.D. College of Engineering, Selukate, Wardha, India.
M. N. Thakare, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, India.
DOI : 01.0401/ijaict.2014.03.08
International Journal of Advanced Information and Communication Technology
Received On : April 09, 2015
Revised On : May 12, 2015
Accepted On : June 13, 2015
Published On : July 05, 2015
Volume 02, Issue 07
Pages : 321-324
Abstract
This Paper Present the detection and segmentation of brain tumor using watershed and thresholding algorithm. Brain tumor segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. Brain tumor detection helps in finding the exact size, shape, boundary extraction and location of tumor. The system is consist of three stages to detect and segment a brain tumor. An efficient algorithm is proposed for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image is enhanced and then morphological operators is applied to detect the tumor in the scanned image.After that edge detection operator is applied for boundry extraction and to find the size of the tumor.
Keywords
Block Syndrome Decoding, TTCM, Iterative Decoding, BSD BICM.
Cite this article
Roshan G. Selkar, M. N. Thakare, “Brain Tumor Detection and Segmentation by using Thresholding and Watershed Algorithm” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.279-284, June 05, 2015.
Copyright
© 2015 Roshan G. Selkar, M. N. Thakare. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.