Nonlinear Distortion Correction in Endoscopic Video Images

Modern video-based endoscopes offer physicians a wide-angle field of view for minimally-invasive procedures. Unfortunately, inherent barrel distortion prevents accurate perception of range. This makes measurement and distance judgment difficult and causes difficulties in emerging applications, such as 3D medical-image registration. Such distortion also arises in other wide field-of-view camera circumstances. This paper presents a distortion-correction technique that can automatically calculate correction parameters, without precise knowledge of horizontal and vertical orientation. The method is applicable to any camera-distortion correction situation. Based on a least-squares estimation, our proposed algorithm considers line fits in both field-of-view directions and global consistency that gives the optimal image center and expansion coefficients. The method is insensitive to the initial orientation of the endoscope and provides more exhaustive field-of-view correction than previously...

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: Chao Zhang, James P. Helferty, Geoffrey McLennan, William E. Higgins
• Keywords: Distortion Correction, Exhaustive Field-of-view Correction, Field-of-view Camera Circumstances, ICIP 2000, Image Processing