Open AccessImplementation of optical flow: good feature definition for tracking of heart cavity
Author(s) -
Anwar Anwar,
Riyanto Sigit,
Achmad Basuki,
I Putu Adi Surya Gunawan
Publication year - 2020
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v18.i2.pp1057-1065
Subject(s) - initialization , feature (linguistics) , optical flow , artificial intelligence , computer vision , computer science , tracking (education) , frame (networking) , segmentation , image (mathematics) , psychology , telecommunications , pedagogy , philosophy , linguistics , programming language
Echocardiography is a method of examination using high-frequency sound waves to capture images of the heart organ structure. Echocardiography video is used by a doctor to analyze heart wall cavity movements and identify heart disease. Several points of view including the long axis, the two and four cavities in the left ventricle can be used in the examination of heart function. Cardiac assessment is still performed conventionally, which requires a level of thoroughness. This research proposes a method for tracking the movement of the heart wall. In this method, the good feature was defined only in the first frame. Furthermore, the whole frame will be processed by the optical flow method. Good feature definition consists of image enhancement, segmentation and tracking processes using the optical flow. Furthermore, the calculation of contour similarity from the proposed method by forming contour manually using 24 point initialization to draw the heart cavity. The proposed method shows the calculation results with a sensitivity of 90% and an accuracy of 87.451%.