A novel image retrieval technique for enhanced telemedical applications

Author

Mohandass, Divya ; Janet, J.

Author_Institution

St. Peter´´s Univ., Chennai, India

fYear

2011

fDate

8-9 Dec. 2011

Firstpage

46

Lastpage

50

Abstract

Future direction telemedicine depends on effective usage of bandwidth due to the huge amount of data generated by high resolution medical images and expert systems, which will eventually try to replace the expert for opinions. Medical image retrieval and lossless-lossy compression will redefine the way data is sent and retrieved in telemedicine systems. This paper proposes a novel method to enable telemedicine even if an expert is not available. The proposed method combines content based image retrieval to retrieve diagnostic cases similar to the query medical image and image compression techniques to minimize the bandwidth utilization.

Keywords

content-based retrieval; data compression; expert systems; image coding; image retrieval; query processing; telemedicine; bandwidth utilization; content based image retrieval; diagnostic cases; enhanced telemedical applications; expert systems; future direction telemedicine; high resolution medical images; image compression techniques; image retrieval technique; lossless-lossy compression; medical image retrieval; query medical image; Biomedical imaging; Equations; Image coding; Image retrieval; Manganese; Neural networks; Quantization; Bi orthogonal wavelet; Linear vector Quantisation; MLP Neural Network; Naïve Bayes; Telemedicine; feature extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Trendz in Information Sciences and Computing (TISC), 2011 3rd International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-0134-3

Type

conf

DOI

10.1109/TISC.2011.6169082

Filename

6169082