TY  - JOUR
T1  - Content Based Medical Image Retrieval System using SIFT and
Hu-Moment for Hepatobiliary Images
AU - Kumar, Manoj AU - Singh, Kh. Manglem 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 11
SP  - 2946
EP  - 2950
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.2946.2950
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.2946.2950
KW  - Scale Invariant Feature Transform (SIFT)
KW  -Content Based Medical Image Retrieval (CBMIR)
KW  -Difference of Gaussian (DOG)
KW  -Hu-moment
KW  -Euclidean distance
KW  -precision
KW  -recall
AB  - This study presents retrieval of hepatobiliary images based on content-based medical image retrieval
technique. Hepatobiliary images are related to hepatobiliary diseases. Hepatobiliary diseases include a group
of diseases related to liver and biliary system. For image retrieval, low-level feature is used. For feature
extraction sift (scale invariant feature transform) and Hu-moments methods are used. Features extracted by
these methods are combining to form a single feature vector. Feature extracted by query images and images
which are stored in the database are compared using Euclidean distance method. Based on minimum distance
images are retrieved. For performance measurement precision, recall and error rate are measured.
ER  -