Deep Learning Based Cystoscopy Image Enhancement.

Endoscopy image enhancement technology provides doctors with clearer and more detailed images for observation and diagnosis, allowing doctors to assess lesions more accurately. Unlike most other endoscopy images, cystoscopy images face more complex and diverse image degradation because of their underwater imaging characteristics. Among the various causes of image degradation, the blood haze resulting from bladder mucosal bleeding make the background blurry and unclear, severely affecting diagnostic efficiency, even leading to misjudgment.

R-DICnet: an end-to-end recursive residual refinement DIC network for larger deformation measurement.

Digital image correlation (DIC) is an optical metrology method for measuring object deformation and has been widely used in many fields. Recently, the deep learning based DIC methods have achieved good performance, especially for small and complex deformation measurements. However, the existing deep learning based DIC methods with limited measurement range cannot satisfy the needs of real-world scenarios.

Dual-stage hybrid network for single-shot fringe projection profilometry based on a phase-height model.

Single-shot fringe projection profilometry (FPP) is widely used in the field of dynamic optical 3D reconstruction because of its high accuracy and efficiency. However, the traditional single-shot FPP methods are not satisfactory in reconstructing complex scenes with noise and discontinuous objects. Therefore, this paper proposes a Deformable Convolution-Based HINet with Attention Connection (DCAHINet), which is a dual-stage hybrid network with a deformation extraction stage and depth mapping stage.

High Precision Optical Tracking System Based on near Infrared Trinocular Stereo Vision.

A high precision optical tracking system (OTS) based on near infrared (NIR) trinocular stereo vision (TSV) is presented in this paper. Compared with the traditional OTS on the basis of binocular stereo vision (BSV), hardware and software are improved. In the hardware aspect, a NIR TSV platform is built, and a new active tool is designed.