6results about How to "Reduce blur" patented technology

The invention discloses a complex-material-oriented multi-path full-frequency global illumination neural rendering method and system, and belongs to the technical field of computer graphics, and the method comprises the steps: carrying out the scene query of light emitted by pixels, and obtaining a primary geometric buffer and a multi-path mixed geometric buffer of the multi-time ejection of the light; respectively extracting main frequency features and multi-path sub-frequency features in a neural feature field based on the two features; performing directed graph structured modeling based on the multi-path sub-frequency features to obtain propagation features representing light path propagation information and global features representing overall light path information; performing multi-path frequency joint feature fusion based on the dominant frequency feature, the propagation feature and the global feature to generate a fusion feature with a full-frequency feature; and estimating a final radiation brightness value of the pixel based on the fusion feature, and completing neural rendering of global illumination. According to the method, efficient modeling and high-quality drawing of multi-path full-frequency global illumination under a complex material can be realized, and the sense of reality and dynamic consistency of a rendered image are remarkably improved.

This invention belongs to the field of image processing technology, specifically relating to an online monitoring method and system for the drying morphology of instant goat milk powder. The method includes: acquiring images of the fluidized bed interior to construct a spatiotemporal fluidized image tensor; obtaining fluidization confidence using eigenvalue decomposition of the local spatiotemporal structure tensor matrix to determine the effective fluidized region; performing morphological opening operations on the effective fluidized region using a sequence of structuring elements, statistically summing gray values ​​and constructing a morphological pattern spectrum to obtain the morphological pattern spectrum entropy; obtaining the pulsating velocity vector using an optical flow algorithm, thereby obtaining the average particle pseudo-temperature and coefficient of variation; and obtaining the fluidization steady-state potential energy index based on the morphological pattern spectrum entropy, average particle pseudo-temperature, and coefficient of variation, and generating control commands. This invention achieves monitoring of complex and abnormal conditions such as the initial stage of dead bed formation and channeling through the fluidization steady-state potential energy index.

The application provides a kind of underwater image recognition method based on bayesian neural network, belong to underwater image recognition technical field;Solve the technical problem that general target recognition method is poor in robustness in visual degradation underwater environment.The method steps include: S1, constructing underwater submarine image dataset;S2, construct underwater image recognition model based on bayesian neural network;S3, use the constructed dataset to train deep learning model, obtain underwater image recognition model;S4, according to the trained prediction model, the image collected when executing underwater task to submersible is predicted and analyzed, and the image target classification result and uncertainty are obtained.

This invention discloses a low-light image enhancement method based on random region concealment and reconstruction. The network consists of two stages. In the first stage, the network is trained on a well-lit image dataset to reconstruct the noisy image after random regions are concealed, resulting in a denoising and reconstruction feature encoder for low-light noisy images. In the second stage, the network inherits the feature encoder model parameters from the first stage and inputs the extracted different features into a multi-scale feature fusion module guided by the reconstructed features. This allows the network to retain more image detail features while denoising. This invention utilizes a richer dataset of well-lit images, saving time and manpower by capturing a large number of real paired low-light images for network training. By fusing features extracted from different feature encoders, the network can quickly adapt to real low-light images under complex lighting conditions, achieving good low-light enhancement and denoising effects.

This invention relates to the field of geometry and drift correction technology for cone-beam CT systems, specifically providing a device and method for synchronously correcting the geometric position and focus drift of a cone-beam CT system. The device includes a correction phantom, a radiation source unit, a moving unit, and a detection unit. The phantom consists of a transparent pressure plate and positioning steel balls, positioning steel bars, and a cross steel bar sandwiched between them. The positioning steel balls are arranged in a square area, with a pair of vertical sides arranged at equal and non-equal intervals to provide angular identification features. The positioning steel bars are located in the middle of the horizontal sides, and the cross steel bar is located at the center of the area, with the intersection point serving as the drift measurement reference. This invention, through its integrated phantom design, can simultaneously complete geometric parameter calibration and focus drift measurement in a single scan without moving or replacing the phantom. The correction method integrates algorithms such as elliptical trajectory fitting, feature point matching, and bicubic spline interpolation, enabling efficient and accurate calculation of the dynamic curves of detector position, attitude, and focus drift.

This utility model relates to the field of packaging box printing technology, specifically to a gift packaging box printing device, including a base plate, a support plate, and a side plate, as well as a controller, a printing mechanism, a flattening mechanism, and a blower mechanism. The printing mechanism includes a screen printing plate, a printing frame, a guide assembly, and a pushing assembly. The flattening mechanism includes a lifting assembly, a connecting assembly, and two pressure rods. The blower mechanism includes a position sensor and a rotating assembly. The pushing assembly includes a first motor, a first connecting rod, a second connecting rod, a connecting block, a first scraper, and a second scraper. The connecting assembly includes two rotating plates, two sliders, and four rollers. The rotating assembly includes a second motor, several fans, several hinge shafts, several synchronous pulleys, and several synchronous belts. This gift packaging box printing device achieves flattening of the packaging box before printing and drying of the printing ink on the packaging box after printing, thereby improving the printing effect and printing quality.