Paper Title:
Feature Analysis for Shadow Detection
  Abstract

In minimally invasive surgery (MIS), depth estimation is also one of the most essential challenges. With the urgent demands of improving surgical safety, a method of improving the surgeon’s perception of depth by introducing an “invisible shadow” in the operative field has been proposed. A novel approach is presented for adaptive shadow detection by incorporating four different attributes and using a classification algorithm to make a distinction between shadow and non-shadow regions. Experimental results show that shadow region can be detected quite well and thus the method could potentially be used as an instrument navigation aid in minimally invasive surgery.

  Info
Periodical
Chapter
Chapter 6: Materials and Mechanics Information System
Edited by
Yongping Zhang, Linhua Zhou and Elwin Mao
Pages
656-660
DOI
10.4028/www.scientific.net/AMM.109.656
Citation
X. P. Hu, W. Huang, G. M. Shi, "Feature Analysis for Shadow Detection", Applied Mechanics and Materials, Vol. 109, pp. 656-660, 2012
Online since
October 2011
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$32.00
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