Size Measurement Based on Structured Light Sensor

Author(s):  
Zhiwen Cao ◽  
Fei Zhong ◽  
Qinhua Wu
2015 ◽  
Vol 35 (1) ◽  
pp. 0112004 ◽  
Author(s):  
陈天飞 Chen Tianfei ◽  
赵吉宾 Zhao Jibin ◽  
吴翔 Wu Xiang

2020 ◽  
Vol 40 (15) ◽  
pp. 1512004
Author(s):  
李志宇 Li Zhiyu ◽  
林嘉睿 Lin Jiarui ◽  
孙岩标 Sun Yanbiao ◽  
邾继贵 Zhu Jigui

2018 ◽  
Vol 11 (10) ◽  
pp. 841-850
Author(s):  
祝 祥 ZHU Xiang ◽  
邵双运 SHAO Shuang-yun ◽  
宋志军 SONG Zhi-jun

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Tianfei Chen ◽  
Lijun Sun ◽  
Qiuwen Zhang ◽  
Xiang Wu ◽  
Defeng Wu

To achieve fast calibration of line structured light sensor, a geometric calibration approach based on single circular calibration target is proposed. The proposed method uses the circular points to establish linear equations, and according to the angle constraint, the camera intrinsic parameters can be calculated through optimization. Then, the light plane calibration is accomplished in two steps. Firstly, when the vanishing lines of target plane at various postures are obtained, the intersections between vanishing lines and laser stripe can be computed, and the normal vector of light plane can be calibrated via line fitting method using intersection points. After that, the distance from the origin of camera coordinate system to the light plane can be derived based on the model of perspective-three-point. The actual experimental result shows that this calibration method has high accuracy, its average measuring accuracy is 0.0451 mm, and relative error is 0.2314%. In addition, the entire calibration process has no complex operations. It is simple, convenient, and suitable for calibration on sites.


2018 ◽  
Vol 06 (05) ◽  
pp. E602-E609 ◽  
Author(s):  
Marco Visentini-Scarzanella ◽  
Hiroshi Kawasaki ◽  
Ryo Furukawa ◽  
Marco Bonino ◽  
Simone Arolfo ◽  
...  

Abstract Background and study aims Polyp size measurement is an important diagnostic step during gastrointestinal endoscopy, and is mainly performed by visual inspection. However, lack of depth perception and objective reference points are acknowledged factors contributing to measurement errors in polyp size. In this paper, we describe the proof-of-concept of a polyp measurement device based on structured light technology for future endoscopes. Patients and methods Measurement accuracy, time, user confidence, and satisfaction were evaluated for polyp size assessment by (a) visual inspection, (b) open biopsy forceps of known size, (c) ruled snare, and (d) structured light probe, for a total of 392 independent polyp measurements in ex vivo porcine stomachs. Results Visual assessment resulted in a median estimation error of 2.2 mm, IQR = 2.6 mm. The proposed probe can reduce the error to 1.5 mm, IQR = 1.67 mm (P = 0.002, 95 %CI) and its performance was found to be statistically similar to using forceps for reference (P = 0.81, 95 %CI) or ruled snare (P = 0.99, 95 %CI), while not occluding the tool channel. Timing performance with the probe was measured to be on average 54.75 seconds per polyp. This was significantly slower than visual assessment (20.7 seconds per polyp, P = 0.005, 95 %CI) but not significantly different from using a snare (68.5 seconds per polyp, P = 0.73, 95 %CI). However, the probe’s timing performance was partly due to lens cleaning problems in our preliminary design. Reported average satisfaction on a 0 – 10 range was highest for the proposed probe (7.92), visual assessment (7.01), and reference forceps (7.82), while significantly lower for snare users with a score of 4.42 (P = 0.035, 95 %CI). Conclusions The common practice of visual assessment of polyp size was found to be significantly less accurate than tool-based assessment, but easy to carry out. The proposed technology offers an accuracy on par with using a reference tool or ruled snare with the same satisfaction levels of visual assessment and without occluding the tool channel. Further study will improve the design to reduce the operating time by integrating the probe within the scope tip.


Sign in / Sign up

Export Citation Format

Share Document