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

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2014 - 7th HNICEM 2014 Joint with 6th International Symposium on Computational Intelligence and Intelligent Informatics, co-located with 10th ERDT Conference

Publication Date

1-1-2014

Abstract

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 binning is also introduced to supplement its invariance to translation. The experiment used an actual BSE performance and the results show its effectiveness in predicting palpation depth level. This algorithm has shown to be in realtime implementation with a frame rate of 30 frames per second that is very useful for implementing the computer vision-based BSE guidance system. © 2014 IEEE.

html

Digitial Object Identifier (DOI)

10.1109/HNICEM.2014.7016220

Disciplines

Electrical and Computer Engineering

Keywords

Breast—Examination; Self-examination, Medical; Motion detectors; Computer vision in medicine

Upload File

wf_yes

This document is currently not available here.

Share

COinS