MRI image retrieval based on texture spectrum and edge histogram features

Author

Kumaran, N. ; Bhavani, R. ; Elamathi, E.

fYear

2013

fDate

3-5 April 2013

Firstpage

1059

Lastpage

1063

Abstract

The increased need of content based image retrieval technique can be found in a number of different domains such as Data Mining, Education, Medical Imaging, Crime Prevention, Weather forecasting, Remote Sensing and Management of Earth Resources. This proposed paper presents the content based image retrieval for medical applications, using texture features and shape. This method uses a texture spectrum to extract texture features and edge histogram to extract shape features of MRI medical images. Then K-mean cluster and Manhattan distance is used for medical image retrieval.

Keywords

biomedical MRI; content-based retrieval; edge detection; feature extraction; image retrieval; image texture; medical image processing; pattern clustering; shape recognition; Earth Resources; K-mean cluster; MRI image retrieval; MRI medical images; Manhattan distance; content based image retrieval technique; crime prevention; data mining; edge histogram features; education; medical image retrieval; medical imaging; remote sensing; texture feature extraction; texture spectrum; weather forecasting; Feature extraction; Histograms; Image edge detection; Image retrieval; Medical diagnostic imaging; Shape; Edge histogram; K-mean cluster; MRI images; Manhattan distance;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Signal Processing (ICCSP), 2013 International Conference on

Conference_Location

Melmaruvathur

Print_ISBN

978-1-4673-4865-2

Type

conf

DOI

10.1109/iccsp.2013.6577218

Filename

6577218