摘要
针对目前胶囊内窥镜存在分辨率低,视场角有限,受噪声影响大等问题,提出了系统解决方案。通过引入Q-type非球面校正像差,得到一款全视场角为160°,相对孔径为F#3.0,系统总长为4.3 mm的内窥镜成像镜头,在140 lp/mm处各视场调制传递函数(MTF)值均大于0.3。光学系统成像质量的好坏不仅取决于镜头的性能,还与图像传感器有关,尤其在低照度环境下。通过分析传感器工作时各个阶段噪声的特性得到噪声模型。利用建立的噪声模型,合成了胶囊内窥镜图像数据集,并训练神经网络模型。对算法模型的测试结果表明,本文提出的综合解决方案可以有效地提高胶囊内窥镜系统的成像质量。
Aiming at the problems of the current capsule endoscope,such as low resolution,limited field of view,and great influence by noise,a system solution was proposed.First,by introducing Qtype aspheric surface to correct aberrations,an endoscope imaging lens with a full field of view of160°,a relative aperture of F#3.0,and a total system length of 4.3mm was finally obtained.MTF values at 140 lp/mm were all greater than 0.3.The imaging quality of an optical system depends not only on the performance of the lens,but also on the image sensor,especially in low-light environments.The noise model was obtained by analyzing the noise characteristics of each stage when the sensor was working.Using the established noise model,the capsule endoscope image data set was synthesized,and the neural network model was trained.The test results of the algorithm model show that the proposed comprehensive solution can effectively improve the imaging quality of capsule endoscope system.
作者
王星琪
杨波
WANG Xingqi;YANG Bo(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《光学仪器》
2022年第4期26-31,共6页
Optical Instruments
