Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas- Tomasi (KLT) algorithm based eigenvalue measurement

Mahadi, Lina Farhana and Ibrahim, Nabilah and Zaluwi, Mohd Thariq and S.M Johan, Muhammad Haniff (2019) Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas- Tomasi (KLT) algorithm based eigenvalue measurement. Advances in Electrical and Electronic Engineering: From Theory to Applications (Series 2), 2. pp. 1-10.

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Abstract

This paper provides the explanation of the concepts of point tracking technique to be implemented in mitral valve locating in video frames. Object tracking has been used for many applications in motion-based recognition and monitoring. This paper discussed about the implementation of Kanade-Lucas-Tomasi (KLT) algorithm for automatic detection of the mitral valve in video frames. An experiment is carried out which covers the patient scanning who suffers from mitral valve disease. The performance of the method is validated by comparing the value of point track per frames. It is found that the point tracker systems can track the mitral valve up to 0.3s.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ751-805 Miscellaneous motors and engines Including gas, gasoline, diesel engines
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Mr. Abdul Rahim Mat Radzuan
Date Deposited: 11 Aug 2021 05:12
Last Modified: 11 Aug 2021 05:12
URI: http://eprints.uthm.edu.my/id/eprint/632

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