RESUMO
The recently proposed omnidirectional depth segmentation method (ODSM) has advantages over traditional depth segmentation in terms of robustness and computational costs. However, this method uses at least six fringe patterns and changes their sequences multiple times to perform depth segmentation, which limits its segmentation speed and increases computational complexity. This paper proposes a fast computational depth segmentation (FCDS) method in which only five patterns are used for object segmentation at different depths into isolated regions without the requirement of pattern sequence changing. Phase singularity points are fully utilized due to their significance as depth segmentation markers to extract segmenting lines used for depth determination. Meanwhile, a modified Fourier transform algorithm (MFTA) is introduced to calculate the wrapped phase sequences, which uses two groups of orthogonal phase-shifting fringe patterns and a DC component pattern (five in total). The segmenting lines along orthogonal directions can be extracted with the FCDS method without changing the fringe sequences, which not only solves the problem of phase insensitivity but reduces the calculation costs. Besides, the problem of mis-segmentation is solved with an optimization algorithm for depth segmenting lines and successfully segments objects with abrupt depth changes. The simulation results demonstrate the effectiveness and precision of the proposed method. The experimental results prove the success of the proposed method for segmenting objects of similar color with a segmentation speed that is up to a 120% increase relative to previous methods.
RESUMO
Intensity-based fringe projection profilometry (IBFPP) is used widely because of its simple structure, high robustness, and noise resilience. Most IBFPP methods assume that any scene point is illuminated by direct illumination only, but global illumination effects introduce strong biases in the reconstruction result for many real-world scenes. To solve this problem, this paper describes an efficient IBFPP method for reconstructing three-dimensional geometry in the presence of global illumination. First, the average intensity of two sinusoidal patterns is used as a pixel-wise threshold to binarize the codeword patterns. The binarized template pattern is then used to convert other binarized fringe patterns into traditional Gray-code patterns. A proprietary compensation algorithm is then applied to eliminate fringe errors caused by environmental noise and lens defocusing. Finally, simple, efficient, and robust phase unwrapping can be achieved despite the effects of subsurface scattering and interreflection. Experimental results obtained in different environments show that the proposed method can obtain three-dimensional information reliably when influenced by global illumination.
RESUMO
In recent years, the antioxidant efficacy of puerarin has been recognized. However, there is less research on Puerarin used in diabetes. This paper analyzes the effect of puerarin on type II diabetes mellitus induced by streptozotocin combined with orthopaedic footwear. In this study, 80 Sprague Dawley (SD) rats were fed with high fat and high sucrose diet for one month, and 1% streptozotocin (STZ) was used to induce type II diabetes mellitus. After 6 weeks aerobic exercise and puerarin intervention in rats, the effect of aerobic exercise and puerarin intervention on antioxidant ability in diabetic rats was investigated. The results showed that aerobic exercise and puerarin intervention can improve the insulin resistance in rats. Meanwhile, the annual incidence of foot ulcers in diabetic patients is 2%, while orthopaedic footwear can reduce the probability of diabetic foot ulcers. In general, exercise and puerarin intervention can really play a role in the prevention and treatment of diabetes, such as improving the metabolic status of diabetic patients and reducing their dependence on drugs.