Depth estimation in monocular breast self-examination image sequence using optical flow

• Main Authors: Jose, John Anthony C., Cabatuan, Melvin K., Dadios, Elmer P., Gan Lim, Laurence A.
• Format: text
• Published: Animo Repository 2014
• Subjects: Breast—Examination; Self-examination, Medical; Motion detectors; Computer vision in medicine; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2385; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3384/type/native/viewcontent
• Institution: De La Salle University

In this paper, we study the depth estimation for image sequence with small displacements as in Breast Self Examination (BSE). We utilized its Lucas-Kanade optical flow vectors, the concept of divergence and focus of expansion to estimate the apparent depth level for each frame. Moreover, orientation...