233results about How to "Eliminate noise" patented technology

The invention provides a three-dimensional terrain model real-time smooth drawing method with combination of a GPU technology, and belongs to the technical field of image processing. The objective of the invention is to provide the three-dimensional terrain model real-time smooth drawing method with combination of the GPU technology so that cache reuse in multiple times of drawing can be realized based on the current popular programmable GPU technology with a global digital elevation model acting as a data source, and load of computation space is effectively reduced. The method comprises the steps of construction of a multi-resolution pyramid model, elimination of image noise points, filtering of images, partitioning of planar projection of the earth according to equal latitude and longitude, and construction of different hierarchical levels of pyramid layers according to a mode from the top to the bottom. Acceleration and enhancement of terrain rendering are realized based on the programmable GPU technology, i.e. all phases of a graphical drawing pipeline are controlled by using shader languages, two and textures are respectively generated by vertex information and index information of elevation data to be stored in video memory for scheduling of whole terrain drawing; and vertex interpolation and migration are performed in the geometric phase by utilizing a curved surface subdivision and fractal technology so that procedural details are generated and the phenomenon of edges and corners of the terrain mesh when resolution is insufficient can be compensated.

The invention relates to an unsupervised image style migration method based on dual learning, and belongs to the field of computer vision. The method comprises the following steps: firstly, preprocessing training data, and then designing network structures of a generator and a discriminator; designing a loss function and training the generator and the discriminator by using the training data and the loss function to obtain an unsupervised image style migration network ST; introducing an aesthetic scoring model to maximize the aesthetic quality score of the generated image; taking basic pixel features and advanced semantic features of the images as dual consistency constraints of unsupervised training, and dynamically adjusting the weights of the two features; adaptively adjusting convergence rates of the model in different style migration directions by using a style balance technology; and finally, performing style migration on the input image by applying ST. Compared with an existingmethod, the method has the advantages that the target image with higher quality can be generated, good universality is achieved, meanwhile, the training process of the model is more stable, and selection and design of the network structure are more flexible.

The invention discloses a construction method of a noise type asphalt pavement. The construction method is characterized by including the steps: firstly, after construction of a roadbed and a base on the roadbed is completed, paving a lower asphalt layer on the base, paving an upper asphalt layer 4cm in thickness on the surface of the lower asphalt layer, and forming an initial pressing face on the upper asphalt layer by means of rolling of a tire roller, wherein the upper asphalt layer is made of stone matrix asphalt composed of lignocelluloses, asphalt, broken stones and mineral powder; secondly, uniformly spreading coarse-grain mixtures on the surface of the initial pressing face; thirdly, re-rolling the surface of the initial pressing face by the tire roller until set compactness and voidage are reached, and performing final rolling and polish for the pavement by the aid of a steel-wheel roller so as to form an asphalt surface; and finally, washing the asphalt surface with high-pressure water to achieve structural depth, and forming the rough pavement uniform in structure after descumming. By the aid of the method, pavement construction quality is greatly improved, and forming standardization of the noise type asphalt pavement is effectively guaranteed.

The invention discloses an agricultural park scene lane departure early warning control method based on an end-to-end convolutional neural network. The method comprises the following steps: collectinga real-time road image, transmitting the real-time road image to an efficient semantic segmentation convolutional neural network, and performing pixel-level marking; performing region-of-interest selection on the image marked by the neural network; extracting an edge image of the road image in the region-of-interest selection by adopting differential edge detection; obtaining a coordinate point set corresponding to edge pixels in the edge image in an image coordinate system; detecting a road edge fitting straight line from the coordinate point set corresponding to the edge pixel by adopting aHough transform straight line detection algorithm; obtaining an optimal fitting straight line through screening and fusion; and according to the optimal fitting straight line result, extracting the relative distance between the vehicle body and the left and right edges of the road in the real-time road image and the characteristics of the focus of the vehicle-mounted camera to distinguish the vehicle pose state, and carrying out corresponding vehicle body adjustment to realize centered driving of the vehicle.

The embodiment of the invention, which is applied to the technical field of information processing, discloses a parameter adjusting method of terminal equipment and terminal equipment. When a aluetooth module of the terminal equipment sends played audio data to a bluetooth headset or bluetooth vehicle-mounted unit by bluetooth connection, the terminal equipment determines whether a time interval for sending audio data by the bluetooth host module to a bluetooth control module in the bluetooth format is larger than a preset time value; if so, a certain functional parameter being a scanning parameter of another wireless communication module sharing a channel with the bluetooth module is adjusted, thereby eliminating a factor causing interruption, noises or breaking of audio data received from the bluetooth headset or bluetooth vehicle-mounted unit.