44 results about "Structural correlation" patented technology

The invention discloses a multi-energy-spectrum CT projection domain base material decomposition method and device based on deep learning, and the method comprises the steps: employing multi-energy-spectrum CT to collect the multi-energy-spectrum multi-color projection of a known calibration model body in a network training process; using multicolor projection under an energy spectrum to directlyreconstruct a mold body CT image, segmenting the mold body CT image into a plurality of base material images, and respectively solving line integrals of the base material images along each ray; designing a deep neural network for multi-color projection decomposition, taking multi-energy-spectrum multi-color projection of the calibration model body as network input, and taking line integral of a base material image of the calibration model body as an output label to complete training; in the network application process, inputting multi-energy-spectrum multi-color projection of a measured objectinto a neural network, and decomposing line integration of a multi-base material image; and reconstructing a multi-base material density image of the measured object through the line integrals. The method is good in anti-noise performance, has no strict requirement on the correlation between the calibration mold body and the morphological structure of the measured object, and does not need to measure energy spectrum information in advance.

A system, method and apparatus for speckle noise removal based upon structural correlation in an OCT imaging system. In accordance with the present invention, several two- or three-dimensional OCT image scans can be acquired for processing by an adaptive algorithm. Specifically, at each image point an image intensity can be computed that quantifies a measure of dispersion of the image values in a particular direction with respect to their mean. Subsequently, a direction θ0(x, y) can be selected which minimizes the energy function at the given pixel (x, y). Finally, a value proportional to a local average of the input image around the point (x, y) can be chosen for the output image. In this way speckle noise can be minimized if not removed while, at the same time, maintaining the image substantially free of obvious artifacts.

The invention belongs to the technical field of image editing, in particular to a method for superdividing stereoscopic images. The method of the invention comprises the following steps of: the position information of the left and right pictures is estimated by adopting an optical flow estimation network; high-resolution image is reconstructed by image super-division network; when reconstructing the left image in a stereoscopic image, not only the local redundancy and structural correlation of the pixels in the image are utilized, combined with the characteristics of correlation and complementarity between the left and right images of the stereoscopic image, more high-frequency information lost in the low-resolution left image is obtained to recover the content of the original image, and the effect of enhancing the rich detail texture of the image resolution is achieved. Experimental results show that this method can effectively improve the resolution of stereoscopic images, and make stereoscopic images have clearer visual quality, richer content and higher research and application value.

A channel decoding method is provided. The method includes storing, in a memory, a set of first log likelihood ratio (LLR) values corresponding to bits of a codeword generated by modulation of a channel-encoded signal; changing, into a preset value, at least one LLR value corresponding to previously defined bits of the codeword from among the set of the first LLR values, to generate a set of second LLR values; and performing forward error correction (FEC) based on the set of the second LLR values and an FEC code, to estimate the bits of the codeword, in which the FEC code comprises a constraint code for constricting a previously defined structural correlation between the bits of the codeword.

The invention discloses a traffic data make-up method. The traffic data make-up method comprises the following steps that S1, random deficiency processing is carried out on a complete traffic data set according to a set traffic data deficiency rate, and a complete traffic data set subjected to deficiency processing is obtained; S2, normalization processing is carried out on the complete traffic data set subjected to deficiency processing and the complete traffic data set, and normalized traffic data are obtained; S3, a traffic data make-up model based on a noise reduction pile type automatic encoder deep-layer network structure is trained, and a make-up model is built; S4, input incomplete traffic data containing missing data are made up for by calling the make-up model, and traffic data values obtained after make up are obtained. According to the traffic data make-up method, the missing data and observed data are treated as a whole, the traffic data are made up for on the aspect of data recovery, the structural correlation among the traffic data is deeply excavated, the missing data are made up for at one time, the efficiency is high, and robustness is good.

The invention discloses a fabric thickness directional permeability testing device. The fabric thickness directional permeability testing device comprises an upper die, a lower die and a die cavity thickness support. The invention also discloses a testing method of a fabric thickness directional permeability. The method comprises the following steps of: a preparation step before injection; an injection step; and a step of measuring test data, and calculating the permeability. According to the invention, the influence of multilevel structure, multiple type unit cells and arrangement and combination manners of a prefabricated part on the spatial distribution of the prefabricated part permeability is analyzed, and a mathematical model of the correlation between the permeability and the distribution thereof and structure can be constructed, the forming mechanism and rule of the soakage defect of the composite material are revealed, and a criteria and a control method for the formation of the soakage defect are developed, so that the application and popularization of the composite material in the fields such as spaceflight and aerospace, automobile, building and wind power generation in China are promoted.

The invention relates to an encoding method of a light image with a color structure, belonging to the technical field of computer image processing. The encoding method of a light image with a color structure is designed by adopting the relevance of a topological structure and an internal structure, and the relevance among different atom areas and in the atom areas of a light encoding image obtained by shooting with the color structure is stronger, which is beneficial to the correct decoding of the light encoding image with the color structure. The light encoding image with the color structurecan be projected on any object and has no strict limit to a curved surface for receiving the light encoding image with the color structure. The characteristic information of the whole space can be obtained by using one light encoding image with the color structure, thus the invention has strong real time and high identification precision rate.

The invention discloses a fabric one-way surface permeability testing device. The fabric one-way surface permeability testing device comprises an upper die, a lower die, a die cavity thickness support and a piezoelectric transducer. The invention also discloses a testing method of a fabric one-way surface permeability. The method comprises the following steps of: carrying out a preparation step before injection; carrying out an injection step; and measuring test data, and calculating permeability. According to the invention, the testing method can selectively analyze the influence of a multilevel structure, multiple type unit cells and permutation and combination manners on prefabricated part permeability spatial distribution, and can establish a mathematical model of the permeability as well as relevance of distribution and structure; and composite material infiltration defect formation mechanism and rule are revealed, infiltration defect formation criterion and control method are developed, thus the composite material is promoted to be applied and popularized in the fields of aerospace, automobile, construction and wind power in China.