Surgical Tool Segmentation with Pose-Informed Morphological Polar Transform of Endoscopic Images

This paper presents a tool-pose-informed variable center morphological polar transform to enhance segmentation of endoscopic images. The representation, while not loss-less, transforms rigid tool shapes into morphologies consistently more rectangular that may be more amenable to image segmentation n...

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Veröffentlicht in:	Journal of Medical Robotics Research 2022-06, Vol.7 (2n03)
Hauptverfasser:	Huang, Kevin, Chitrakar, Digesh, Jiang, Wenfan, Yung, Isabella, Su, Yun-Hsuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Circles (geometry) Constraints Coordinate transformations Endoscopy Image enhancement Image segmentation Kinematics Morphology Performance evaluation Pixels Polar coordinates Representations Spatial distribution Surgical instruments
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