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Specular Reflections Detection and Removal Based on Deep Neural Network for Endoscope Image1.pdf (318.26 kB)
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Specular Reflections Detection and Removal Based on Deep Neural Network for Endoscope Images

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posted on 08.11.2021, 15:16 authored by Tianyu LiuTianyu Liu, chongyu wang, Junyu Chang, Liangjing Yang
Specular reflections have always been undesirable when processing endoscope vision for clinical purpose. Scene afflicted with strong specular reflection could result in visual confusion for the operation of surgical robot. In this paper, we propose a novel model based on deep learning framework, known as Surgical Fix Deep Neural Network (SFDNN). This model can effectively detect and fix the reflection points in different surgical videos hence opening up a whole new approach in handling undesirable specular reflections.

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Email Address of Submitting Author

tianyu.18@intl.zju.edu.cn

Submitting Author's Institution

ZJUI

Submitting Author's Country

China

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