Feature Analysis for Shadow Detection

Xiao Peng Hu; Wan Huang; Guo Min Shi

doi:10.4028/www.scientific.net/AMM.109.656

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 109Feature Analysis for Shadow Detection

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.

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Periodical:

Applied Mechanics and Materials (Volume 109)

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656-660

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.109.656

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Online since:

October 2011

Authors:

Xiao Peng Hu, Wan Huang, Guo Min Shi

Keywords:

Feature, Minimally Invasive Surgery (MIS), Shadow Detection

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