TY - GEN
T1 - Comparison of Similarity Measurement Metrics on Medical Image Data
AU - Samantaray, Aswini K.
AU - Rahulkar, Amol D.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Similarity measurement plays an important role to solve many pattern recognition problems such as classification, clustering and particularly the content based image retrieval problems. In this paper, a detailed comparison of 10 similarity measures has been presented for medical image retrieval. Different types of medical images from databases such as NEMA, OASIS and EXACT09 are used to evaluate the performance. Features of all the medical images are extracted using Log-Gabor wavelet. The effectiveness of all the distance metrics are investigated and tested on more than 800 medical images from the databases. It is observed from the experimental results that the retrieval performance can be improved by the distance measures like Bray- Curtis and Canberra distance metric as compared to other existing distance based approach.
AB - Similarity measurement plays an important role to solve many pattern recognition problems such as classification, clustering and particularly the content based image retrieval problems. In this paper, a detailed comparison of 10 similarity measures has been presented for medical image retrieval. Different types of medical images from databases such as NEMA, OASIS and EXACT09 are used to evaluate the performance. Features of all the medical images are extracted using Log-Gabor wavelet. The effectiveness of all the distance metrics are investigated and tested on more than 800 medical images from the databases. It is observed from the experimental results that the retrieval performance can be improved by the distance measures like Bray- Curtis and Canberra distance metric as compared to other existing distance based approach.
UR - https://www.scopus.com/pages/publications/85078161567
UR - https://www.scopus.com/pages/publications/85078161567#tab=citedBy
U2 - 10.1109/ICCCNT45670.2019.8944781
DO - 10.1109/ICCCNT45670.2019.8944781
M3 - Conference contribution
AN - SCOPUS:85078161567
T3 - 2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019
BT - 2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019
Y2 - 6 July 2019 through 8 July 2019
ER -