TY - JOUR
T1 - Combined Hu moments, orientation knowledge, and grid intersections feature based identification of Bharatanatyam mudra images
AU - Anami, Basavaraj S.
AU - Bhandage, Venkatesh A.
N1 - Publisher Copyright:
© 2018, Springer-Verlag London Ltd., part of Springer Nature.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - This paper presents a three-stage methodology for identification of mudra images of Bharatanatyam dance. In the first stage, acquired images of Bharatanatyam mudras are preprocessed to obtain contours and edge images of mudras using canny edge detector. In the second stage, features such as Hu moments, mudra orientation, and grid intersections are extracted and combined feature is defined. In the third stage, a rule-based classifier is used. The proposed method is implemented using OpenCV with Microsoft visual C++ IDE. The work finds application in e-learning of ‘Bharatanatyam’ dance in particular and dances in general and automation of commentary during concerts.
AB - This paper presents a three-stage methodology for identification of mudra images of Bharatanatyam dance. In the first stage, acquired images of Bharatanatyam mudras are preprocessed to obtain contours and edge images of mudras using canny edge detector. In the second stage, features such as Hu moments, mudra orientation, and grid intersections are extracted and combined feature is defined. In the third stage, a rule-based classifier is used. The proposed method is implemented using OpenCV with Microsoft visual C++ IDE. The work finds application in e-learning of ‘Bharatanatyam’ dance in particular and dances in general and automation of commentary during concerts.
UR - https://www.scopus.com/pages/publications/85047939053
UR - https://www.scopus.com/inward/citedby.url?scp=85047939053&partnerID=8YFLogxK
U2 - 10.1007/s10044-018-0715-2
DO - 10.1007/s10044-018-0715-2
M3 - Article
AN - SCOPUS:85047939053
SN - 1433-7541
VL - 22
SP - 1439
EP - 1454
JO - Pattern Analysis and Applications
JF - Pattern Analysis and Applications
IS - 4
ER -