Frontiers of Information Technology & Electronic Engineering
>> 2022,
Volume 23,
Issue 4
doi:
10.1631/FITEE.2000679
A three-dimensional measurement method for binocular endoscopes based on deep learning
Affiliation(s): State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China; Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou 311100, China; less
Received: 2020-12-07
Accepted: 2022-04-20
Available online: 2022-04-20
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Abstract
In the practice of clinical endoscopy, the precise estimation of the lesion size is quite significant for diagnosis. In this paper, we propose a three-dimensional (3D) measurement method for binocular endoscopes based on , which can overcome the poor robustness of the traditional binocular matching algorithm in texture-less areas. A simulated binocular image dataset is created from the target 3D data obtained by a 3D scanner and the binocular camera is simulated by 3D rendering software to train a model for 3D measurement. The experimental results demonstrate that, compared with the traditional binocular matching algorithm, the proposed method improves the accuracy and disparity map generation speed by 48.9% and 90.5%, respectively. This can provide more accurate and reliable lesion size and improve the efficiency of endoscopic diagnosis.
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