TY - GEN
T1 - Preprocessing Analysis on Medical Image Retrieval Using One-to-one Matching of SURF Keypoints
AU - Yudha, Ery Permana
AU - Suciati, Nanik
AU - Fatichah, Chastine
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The development of medical image technology is increasing very rapidly. Moreover, medical image growth is predicted to grow exponentially over the past decade. Much research on medical images has been done, one of which is medical image retrieval using colors, textures, and keypoints matching. Generally, the keypoints matching approach is more reliable against spatial rotation. However, the medical images mostly contain blur objects and noise, which affect the performance of keypoints detection. This study proposes a preprocessing analysis on medical image retrieval using one-one matching of SURF keypoints. The image retrieval performance with and without preprocessing is compared on the IRMA 2009 dataset. This analysis proves that the use of preprocessing can improve the precision by 17.78%, 17.59%, and 17.92% on top-5, top-10, and top-15, respectively.
AB - The development of medical image technology is increasing very rapidly. Moreover, medical image growth is predicted to grow exponentially over the past decade. Much research on medical images has been done, one of which is medical image retrieval using colors, textures, and keypoints matching. Generally, the keypoints matching approach is more reliable against spatial rotation. However, the medical images mostly contain blur objects and noise, which affect the performance of keypoints detection. This study proposes a preprocessing analysis on medical image retrieval using one-one matching of SURF keypoints. The image retrieval performance with and without preprocessing is compared on the IRMA 2009 dataset. This analysis proves that the use of preprocessing can improve the precision by 17.78%, 17.59%, and 17.92% on top-5, top-10, and top-15, respectively.
KW - detection
KW - grayscale
KW - keypoints
KW - matching
KW - preprocessing
KW - retrieval
UR - http://www.scopus.com/inward/record.url?scp=85146197316&partnerID=8YFLogxK
U2 - 10.1109/ICICoS53627.2021.9651782
DO - 10.1109/ICICoS53627.2021.9651782
M3 - Conference contribution
AN - SCOPUS:85146197316
T3 - Proceedings - International Conference on Informatics and Computational Sciences
SP - 160
EP - 164
BT - Proceeding - 5th International Conference on Informatics and Computational Sciences, ICICos 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Informatics and Computational Sciences, ICICos 2021
Y2 - 24 November 2021 through 25 November 2021
ER -