Methodical investigation of filtering algorithms for human brain MRI

Title

Methodical investigation of filtering algorithms for human brain MRI

Creator

Mathew S.T.; Nachamai M.

Description

Retrieving useful information from the given data through a systematic and organized way can help to learn more about the data in a much better and clear way. Information is hidden in medical images. The medical images like Magnetic Resonance Images (MRI), Computed Tomography (CT), ultrasound, X-ray are suggested by the physicians depending upon the available symptoms of the disease. These medical images contain valuable information about a particular disease in hidden format. Identification of that potentially useful information is crucial in further treatments of a particular disease. In image mining the images are processed and extraction or mining of knowledge is done, to get original, valid, potentially useful, and understandable patterns from the available images. The obtained patterns are a good source for further research work. This research work uses brain Magnetic Resonance Images (MRI) of human beings. Different image filtering algorithms were used to retrieve noise free images. International Science Press.

Source

International Journal of Control Theory and Applications, Vol-9, No. 21, pp. 51-57.

Date

2016-01-01

Publisher

Serials Publications

Subject

Adaptive filter; Brain MRI; Median filter; Salt and pepper

Coverage

Mathew S.T., Dept. of Computer Science Christ University, Bangalore, India; Nachamai M., Dept. of Computer Science Christ University, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 9745572

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008251844&partnerID=40&md5=afa8072faeabf6e63806386a38e3ca29