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arXiv · 2304.03171

Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction

Ricardo Espinosa·Carlos Axel Garcia-Vega·Gilberto Ochoa-Ruiz·Dominique Lamarque·Christian Daul
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Abstract

This contribution shows how an appropriate image pre-processing can improve a deep-learning based 3D reconstruction of colon parts. The assumption is that, rather than global image illumination corrections, local under- and over-exposures should be corrected in colonoscopy. An overview of the pipeline including the image exposure correction and a RNN-SLAM is first given. Then, this paper quantifies the reconstruction accuracy of the endoscope trajectory in the colon with and without appropriate illumination correction

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Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul. 2023-04-06. Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction. https://arxiv.org/abs/2304.03171

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