UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1809418


Registration ID:
188481

Page Number

82-87

Share This Article


Jetir RMS

Title

A METHOD DETECT BRAIN TUMOUR USING BOUNDING BOX AND ANISOTROPIC FILTER

Abstract

Abstract - Brain tumors may be characterized as either primary or secondary. Primary brain tumors are those which arise initially in the central nervous system (CNS) or its adjacent structures. In contrast, secondary tumors arise outside of the CNS and secondarily metastasize to the brain or its adjacent structures. The basic principle behind FBB: a change detection principle, where a region of change (D) is detected on a test image (I), when compared with a reference image (R). Brain Tumor is a fatal disease which cannot be confidently detected without MRI. To pave the way for morphological operation on MRI image, the image was first filtered using Anisotropic Diffusion Filter to reduce contrast between consecutive pixels. Anisotropic Diffusion Filter used for capturing the diseased MRI images through plotting and comparing them with their nearest neighbors. Filtering technique is used for filtering the tumor images out of good ones using pixels. Bounding box is based upon change detection principle, where a region of change (D) is detected on a test image (I), when compared with a reference image (R). The goal of our approach is to justify bounding box algorithm separately and with which is based on Anisotropic Diffusion Filter

Key Words

Cite This Article

"A METHOD DETECT BRAIN TUMOUR USING BOUNDING BOX AND ANISOTROPIC FILTER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.82-87, September-2018, Available :http://www.jetir.org/papers/JETIR1809418.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A METHOD DETECT BRAIN TUMOUR USING BOUNDING BOX AND ANISOTROPIC FILTER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp82-87, September-2018, Available at : http://www.jetir.org/papers/JETIR1809418.pdf

Publication Details

Published Paper ID: JETIR1809418
Registration ID: 188481
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 82-87
Country: DURG, CHHATISGARH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002878

Print This Page

Current Call For Paper

Jetir RMS