144 results about "Transmission image" patented technology

The invention belongs to the technical field of image processing, and relates to an egg surface microcrack detection method and system based on machine vision. The method comprises the following steps: acquiring a transmission image of an egg, performing spatial calibration, determining a geometric center and a long axis scale of an egg region, and establishing a polar coordinate mapping relation of each pixel point; according to the linear distance from each pixel point to the geometric center and the included angle relative to the long axis direction, the geometric sensitivity weight of each pixel point is evaluated, and the optical path distortion degree of the edge high-curvature area is represented; extracting contrast basic energy of the pixel points by using a local space window, and carrying out nonlinear evolution on a local gray gradient by combining with a geometric sensitivity weight to obtain an adaptive contrast energy evolution result; and coupling the local background variance and the geometric sensitivity weight, and calculating the crack identification confidence of each pixel point so as to carry out identification decision of the egg surface microcracks. According to the invention, extremely fine crack signals can be captured, and accurate detection of the microcracks on the surface of the egg is realized.

The invention discloses an optical lens imaging system and an optical lens defect detection method, and relates to the field of optical lens detection.The system comprises a conveying belt, a large-face transmission imaging module, a large-face reflection imaging module, a small-face reflection imaging module, a small-face transmission imaging module and a control module, and different types of light sources are arranged at four detection points respectively. Multi-angle imaging is carried out from the upper direction and the lower direction of a lens, a grating modulation technology is adopted for parallel light transmission point positions, the internal defect display effect is enhanced through differential processing, and the detection method comprises the steps that preprocessing such as segmentation, difference, enhancement and registration is carried out on six images; constructing a multi-branch feature extraction network, and adopting a priori guided feature fusion mechanism; constructing a defect detector comprising classification, positioning and quantification; according to the invention, comprehensive detection of defects on the surface and inside of the lens is realized, the sensitivity is high, the efficiency is high, the structure is compact, and the method is suitable for industrial mass production.

An X-ray inspection apparatus includes a transport unit configured to transport an article, an electromagnetic wave irradiation unit configured to irradiate the article with a first electromagnetic wave in a first energy band and a second electromagnetic wave in a second energy band, an electromagnetic wave sensor configured to detect the first electromagnetic wave and the second electromagnetic wave, and a control unit to which a detection result is input. The control unit is configured to generate a first transmission image based on a detection result of the first electromagnetic wave and a second transmission image based on a detection result of the second electromagnetic wave, to perform image processing including a subtraction process on the first transmission image and the second transmission image, and to determine whether or not a foreign material is included in the article on the basis of a difference image.

The invention relates to a computer-implemented method for providing a medical finding to a requesting entity, the method comprising a plurality of steps. A step is directed to obtaining at an evaluating entity, medical image data from a requesting entity, the requesting entity being remote from the evaluating entity. Another step is directed to determining, at the evaluating entity, at least one medical finding based on the obtained medical image data. Another step is directed to generating transmission image data. Another step is directed to embedding at least one of the determined medical findings as text in the transmission image data. Another step is directed to providing the at least one medical finding to the requesting entity by means of transmitting the transmission image data to the requesting entity.

The invention discloses a converter valve platinum electrode scaling thickness detection method based on image gray analysis, and belongs to the technical field of converter valve equipment nondestructive testing. The invention aims to solve the problems of low efficiency and equipment damage caused by the fact that the scaling thickness can be measured only by halting and disassembling an electrode in the prior art. The method comprises the following steps: firstly, acquiring an X-ray transmission image of a platinum electrode and preprocessing the X-ray transmission image; then interactively determining a measurement line segment penetrating through the scaling area on the image; extracting gray values of all pixel points on the line segment to form gray distribution data; then analyzing the data to identify two feature points representing the boundary of the scaling layer and the electrode substrate; and finally, calculating the actual physical thickness of the scaling layer according to the pixel distance between the two feature points and the system calibration coefficient. According to the technical scheme, the scaling thickness on the surface of the platinum electrode in the converter valve cooling system can be detected online, losslessly and accurately, and a basis is provided for state evaluation and maintenance decision.

A system is provided that includes one or more sources used to irradiate one or more solids extracted from a reservoir with an energy source and one or more detectors used to acquire one or more transmission images, wherein the one or more transmission images comprise one or more scans. The system also includes a processing circuitry and a memory, accessible by the processing circuitry, the memory storing instructions that, when executed by the processing circuitry cause the processing circuitry to perform operations. The operations may include collecting one or more scans of the one or more solids moving through an imaging zone, reconstructing one or more tomographic images of the one or more solids based on the one or more scans, and extracting one or more physical properties of the solids based on the one or more tomographic images.

The invention relates to the technical field of image processing, in particular to a coating quality visual detection method and system for a spin-coated optical filter. The method comprises the following steps: acquiring gray level images of a plurality of transmission images of an optical filter after light source transmission under at least three incidence angles in a plurality of orientations; taking a difference image between each gray-scale image and the background gray-scale image as a residual image; performing binarization processing on the residual image to obtain a corresponding binary image; performing connected domain analysis on each binary image to obtain a suspected defect region of each binary image; carrying out trend test on each suspected defect area to obtain trend direction statistics of corresponding directions; in response to the fact that the trend statistics in all the directions are consistent, determining that the coating film uniformity is abnormal in the suspected area; on the contrary, the suspected defect area is interfered by inconsistent tensity. According to the scheme, the uniformity of the coating layer on the optical filter can be accurately detected so as to evaluate whether the coating quality of the surface of the optical filter is qualified or not.

Perform appropriate retesting. [Solution] A management system (1) according to one embodiment includes a first storage unit (110) that associates an X-ray transmission image with device characteristics indicating the characteristics of each X-ray inspection device (10) that generated the X-ray transmission image and stores them as a re-inspection image, and a re-inspection unit (120) that uses a learning model for detecting defects in an item and learns a learning model learned for each device characteristic to re-inspect the re-inspection image stored in the first storage unit (110).

A sorting support apparatus is provided with: an input part that inputs a transmission image obtained by radiating an inspection target with electromagnetic waves; a storage part that stores a plurality of learning models optimized respectively for at least one article and being associated with an assumed usage condition; and a determination part that selects one of the learning models based on a specified usage condition and uses the learning model to determine whether or not the one or more articles is contained in the inspection target.

To provide an X-ray inspection device, an X-ray inspection system, and an X-ray inspection method capable of preventing deterioration of inspection accuracy of an article even if a conveyance speed of the article is increased.SOLUTION: The X-ray inspection apparatus includes a conveyor that conveys an article, an electromagnetic wave irradiator that irradiates the article with a first electromagnetic wave in a first energy band and a second electromagnetic wave in a second energy band, an electromagnetic wave sensor that detects the first electromagnetic wave and the second electromagnetic wave with which the article is irradiated, and a controller to which a detection result of the electromagnetic wave sensor is input. The control unit generates a first transmission image based on a detection result of the first electromagnetic wave and a second transmission image based on a detection result of the second electromagnetic wave, performs image processing including subtraction processing on the first transmission image and the second transmission image by using a luminance distribution related to a background other than the article shown in the first transmission image and the second transmission image, and determines presence or absence of a foreign substance contained in the article based on a difference image obtained by the subtraction processing.SELECTED DRAWING: Figure 2

The invention relates to the technical field of industrial nondestructive testing and automatic measurement, in particular to a non-contact liquid level detection device and method based on millimeter wave transmission imaging. According to the technical scheme, the system comprises a gantry type scanning rack, an objective table, a millimeter wave transmitting and receiving assembly and a data acquisition and processing module. Two-dimensional grating type scanning is achieved by synchronously driving the X-axis sliding block and the Z-axis sliding block, a focused millimeter wave beam is emitted to penetrate through the container, and a signal is received and converted into voltage data. A two-dimensional transmission image is generated based on the voltage attenuation difference, the liquid level edge is recognized through image processing, and the liquid level height is automatically calculated. The method has the advantages of no contact, no damage, visualization, high precision, strong environmental adaptability and the like, and is suitable for automatic detection of liquid in flammable and explosive or non-transparent containers.

A kind of power equipment image processing method based on optical fiber bundle imaging, storage medium and system, method is: signal output by infrared fiber bundle is collected by infrared camera pixel matrix, unit in matrix is divided into effective unit and invalid unit, and generate unit division binary matrix data file;Again processing obtains temperature correction matrix data file, temperature segmented point corresponding response value matrix data file, and establish the correction value of response value matrix under different radiation scene;Through numerical fitting and interpolation compensation method, the video stream of optical fiber bundle transmission image is carried out real-time restoration and optimization, completes the inversion from thermal map to temperature field distribution;The present application also includes the storage medium and system of storing the power equipment image processing method based on optical fiber bundle imaging of running this, the present application carries out real-time restoration and optimization to the video stream of optical fiber bundle transmission image by numerical fitting and interpolation compensation method, completes the inversion from thermal map to temperature field distribution.

The invention discloses a synchrotron radiation hard X-ray electron coupling nanoscale high spatial resolution detection method. The method comprises the following steps: 1) selecting synchrotron radiation hard X-rays as a light source; selecting a matched light source energy interval according to the material and thickness of the sample; 2) according to the selected synchrotron radiation hard X-ray energy, selecting a point spread function with high quantum efficiency, a small point spread function and a narrow emission electron spectrum, and calculating a corresponding photocathode material and thickness; 3) detecting the sample by using the light source and the photocathode determined in the above step to obtain a synchrotron radiation hard X-ray transmission image carrying sample structure information, and incidence the synchrotron radiation hard X-ray transmission image on the photocathode; the photocathode emits electrons under the action of incident photons, converts an X-ray transmission signal into an electronic signal, inputs the electronic signal into the electronic imaging system for focusing, amplifying and imaging, and inputs the electronic signal into the imaging recording system; and 4) obtaining a detection result of the sample according to the image recorded by the imaging recording system.

The invention belongs to the technical field of glass curtain wall stain recognition, and relates to a glass curtain wall stain segmentation method and device and a computer readable storage medium, and the method comprises the steps: collecting an original polarization image of a to-be-recognized glass curtain wall through a pixel-level polarization array camera; the maximum light intensity value and the minimum light intensity value of the pixel position are obtained based on the light intensity values of the same pixel position at different polarization angles, so that the polarization degree of the pixel position is calculated; based on the polarization degree of each pixel position and the normalized light intensity value of each pixel position at different polarization angles, constructing light intensity reconstruction weights of each pixel position at different polarization angles; carrying out weighted summation on the light intensity and the light intensity reconstruction weight of each pixel position at different polarization angles to obtain the reconstruction light intensity of each pixel position so as to obtain a reflection suppression image; and inputting the reflection inhibition image into a reflection layer separation network, and decomposing the reflection inhibition image into a reflection image and a transmission image, thereby carrying out curtain wall stain segmentation identification.

The application provides a video sending method, a video receiving method and related devices, and relates to the field of digital video signal coding. The method comprises the following steps: obtaining an original transmission video, and obtaining an original transmission image according to the original transmission video; converting the original transmission image into a preset image format to obtain a converted transmission image; splitting the converted transmission image according to color information to obtain a plurality of color images, wherein the color images comprise a first color image, a second color image and a third color image; respectively encoding the plurality of color images to obtain a first encoded image of the first color image, a second encoded image of the second color image and a third encoded image of the third color image; converting the encoded images into transmission information; and sending the transmission information to a receiving end, so that the receiving end can obtain the original transmission video according to the transmission information. The method can reduce network pressure during transmission and make the received file meet the requirement of visual lossless quality after being decoded.

The present invention provides an X-ray inspection method and X-ray inspection apparatus capable of acquiring three-dimensional data of defects in an object in a short amount of time. [Solution] The method includes: an X-ray image acquisition step of acquiring a two-dimensional X-ray transmission image 3a by performing X-ray imaging of the object 1; a model generation step of generating a three-dimensional virtual model 4 corresponding to the object 1 including defects 2 using known structural parameters for the object 1; a virtual transmission image generation step of generating a two-dimensional virtual transmission image 6a from the three-dimensional virtual model; and a parameter modification step of modifying the structural parameters of the three-dimensional virtual model 4 so that the two-dimensional virtual transmission image 6a approaches the two-dimensional X-ray transmission image 3a, using the comparison results of the two-dimensional X-ray transmission image 3a and the two-dimensional virtual transmission image 6a.

An anti-glare film is attached on a surface of a display, and includes an anti-glare layer. The anti-glare layer is set to have a sparkle value falling within a range from 6 to 10, which is defined based on a value of a standard deviation of luminance distribution of the display under a state in which the anti-glare film is attached on the surface of the display, a value of specular gloss of 30% or less, which is measured with 60-degree specular gloss, a value of transmission image clarity of 60% or less, which has an optical comb of 0.5 mm, and a haze value of 50% or less. Consequently, satisfactory anti-glare property can be provided while appropriately suppressing sparkle on the display.

The present application relates to the field of computer vision, and specifically discloses a DHA algal oil soft capsule filling amount insufficient detection method based on a deep learning neural network, comprising: accurately separating each capsule instance from a production line transmission image through a lightweight instance segmentation model; synchronously analyzing the global contour and local density features of a single capsule region using a multi-scale feature extraction network, which innovatively introduces an auxiliary density estimation module to enhance the perception of the content filling state; and fusing the above features to complete the accurate classification of the filling state. The present application effectively solves the practical problems of feature confusion, insensitivity to minor changes, poor dense detection effect, and the difficulty in balancing model efficiency and accuracy, and realizes high-precision and high-efficiency automatic detection of DHA algal oil soft capsule filling amount insufficient.

An aerial image display device includes a display, an optical system that forms an aerial image as a real image from image light emitted from the display, a light-transmissive screen between the aerial image and the optical system, and an image projector that emits projection image light toward the light-transmissive screen in a direction different from an optical axis direction of the image light between the aerial image and the optical system. The light-transmissive screen transmits the image light and diffuses the projection image light to display a projection image.

Provided is an X-ray transmission inspection device capable of preventing warping and bending of a sample and suppressing blurring of an X-ray transmission image. The X-ray transmission inspection device of the present application includes a sample holder disposed between an X-ray source and an X-ray sensor, the sample holder adsorbing a sample to a surface of the sample holder by reducing the pressure inside the sample holder, thereby holding the sample (see FIG. 1).

There is provided a system comprising: one or more sources for irradiating one or more solids extracted from a reservoir with an energy source; and one or more detectors for acquiring one or more transmission images, where the one or more transmission images comprise one or more scans. The system also includes processing circuitry and a memory accessible by the processing circuitry, the memory storing instructions that, when executed by the processing circuitry, cause the processing circuitry to perform operations. The operations may include: collecting one or more scans of the one or more solids moving through an imaging zone; reconstructing one or more tomographic images of the one or more solids based on the one or more scans; and extracting one or more physical properties of the solid based on the one or more tomographic images.

This invention relates to the field of dry coal sorting technology, and more particularly to a method for identifying the target distribution state of coal gangue in dual-energy X-ray transmission images. The technical solution includes the following steps: acquiring transmission images of the material to be sorted as it passes through a dual-energy X-ray transmission imaging device, selecting a low-energy image as the input image; labeling the targets in the input image to construct a dataset; constructing a target detection model based on deep learning, training it using the dataset, enabling the model to identify independent targets and different numbers of overlapping and adhered targets in the image. This invention significantly improves the detection accuracy of overlapping and adhered coal gangue targets through refined dataset construction and multi-strategy model optimization; furthermore, it quantitatively characterizes the material distribution state based on multi-dimensional parameters and combines machine learning to accurately identify six distribution forms; finally, the identification results are used for adaptive control of the sorting system, effectively improving sorting efficiency and operational stability.

The application discloses a photovoltaic glass defect detection method and system based on image recognition, and particularly relates to the technical field of visual detection, and is used for solving the problem of optical artifact interference defect recognition caused by film layer interference effect on the surface of coated glass; the optical artifact distribution map is generated by extracting interference characteristics from a reflection image, the interference area is positioned in the frequency domain space of a transmission image, a process response template is constructed in combination with a deposition pulse frequency, polarization coherence screening and time-varying deconvolution cooperative filtering are performed to eliminate artifacts; based on the energy proportion dynamic decision re-inspection or defect classification process implementation, the inherent optical noise of the material and the real physical defects are effectively separated, and the accuracy and reliability of the coated glass defect detection are significantly improved.

To provide an X-ray inspection apparatus capable of obtaining a clear transmission image with less noise without reducing a conveyance speed of an inspection object. There is provided an X-ray inspection apparatus in which an X-ray generator and an X-ray detector are disposed to face each other with a conveyance path interposed between the X-ray generator and the X-ray detector, conveyance path through which inspection objects that are sequentially conveyed pass. The X-ray generator and the X-ray detector are configured to move back and forth in a conveyance direction of the inspection object and an opposite direction thereof. The X-ray detector captures an image of the inspection object while the X-ray generator and the X-ray detector moves in the conveyance direction from an image capturing start position to an image capturing end position at a speed equal to the conveyance speed of the inspection object.

To facilitate the use of an imaging element having a high reading speed.SOLUTION: An image signal processing device includes an original image signal reception unit that receives an original image signal including a plurality of frames from an imaging unit, a transmission image signal generation unit that generates a transmission image signal including a smaller number of frames than a number of the plurality of frames included in the original image signal received by the original image signal reception unit with reference to the original image signal, and a transmission image signal transmission unit that transmits the transmission image signal generated by the transmission image signal generation unit to an external image processing circuit via a signal transmission path. In the image signal processing device, the transmission image signal generation unit may generate the transmission image signal by executing noise suppression processing on the original image signal.SELECTED DRAWING: Figure 1

A novel method is disclosed for obtaining transmission scan data in a PET scanner by incorporating one or more stationary gamma ray sources that provide forward scattered gamma photons that can be used as transmission imaging radiation.

Disclosed herein is a metal dust analysis system according to an exemplary embodiment of the present disclosure, comprising: a dust analysis section wherein the dust analysis section is configured to: generate an X-ray transmission image of each sample and a reference sample; processing the X-ray transmission image of the sample to generate mapped image data of the sample in which metal dust having a diameter within a predetermined range is selectively displayed; and generating component analysis data for each of the metal dusts identified in the mapped image data.

The present application relates to the field of agricultural intelligent detection and computer vision, and specifically discloses a cherry tree leaf disease detection method based on a convolutional neural network. The method synchronously collects visible light images and hyperspectral transmission images of cherry tree leaves, representing external morphology and internal physiological state respectively; through a double-flow convolutional neural network, multi-scale spatial features and spectral features fused with vegetation index and optical physics model are extracted respectively, and cross-modal alignment and fusion are performed to generate a unified disease state representation vector; finally, the health state, disease type and risk level of the leaves are determined through a hierarchical classification structure. Through the above technical solution, the present application realizes early and advanced warning of cherry tree leaf diseases, improves detection sensitivity and robustness in the field environment, and provides decision support for precise pesticide application and green prevention and control.

The invention relates to the technical field of phase field simulation, and discloses a transmission imaging simulation method, device and equipment of a polar nanometer microcell and a medium, and the method comprises the following steps: determining a target analysis area of a relaxor ferroelectric sample; performing transmission electron microscope imaging and dark field imaging under diffraction conditions on the target analysis area; based on the dark field image, extracting size distribution and surface density parameters of the polar nanometer micro-area; based on transmission electron microscope imaging, lattice distortion rate parameters of the polar nanometer micro-area are extracted; based on the surface density parameter, determining a simulation concentration value of the reaction-diffusion model; and controlling the reaction-diffusion model to run and simulate a dynamic self-organizing evolution process of the polar nanometer micro-area under set area size and boundary conditions so as to obtain a polar nanometer micro-area aggregation form of the polar nanometer micro-area output by the reaction-diffusion model. According to the scheme, the prediction of the static morphology characterization and dynamic self-organization process of the polar nano micro-area can be realized, and the performance optimization of the relaxor ferroelectric material is improved.

The invention discloses a system for multispectral transmission image breast lesion segmentation, and belongs to the technical field of medical image processing and optical imaging. The system comprises an image preprocessing subsystem and a semi-supervised segmentation network subsystem. The preprocessing subsystem adopts modulation and demodulation, frame accumulation and a scattering correction technology based on spatial pyramid matching, so that the signal-to-noise ratio and the contrast ratio of an image are remarkably improved; the segmentation network subsystem proposes a multi-head consistency semi-supervised network model, integrates a multi-head decomposition module and a cross supervision module, and effectively utilizes unlabeled data to carry out uncertainty modeling and consistency constraint. Under the condition that only 20% of labeled data is used, the segmentation Dice coefficient on the self-built mammary gland phantom data set reaches 91.47% and is obviously superior to that of an existing method, and a complete solution from image enhancement to intelligent segmentation is provided for early diagnosis of the breast cancer.