325 results about "Transmission image" patented technology

The invention discloses a photovoltaic glass defect detection method and system based on image recognition, particularly relates to the technical field of visual inspection, and is used for solving the problem that defect recognition is interfered by optical artifacts caused by a film layer interference effect on the surface of coated glass. The method comprises the following steps: extracting interference characteristics through a reflection image to generate an optical artifact distribution diagram, positioning an interference region in a transmission image frequency domain space, constructing a process response template in combination with a sedimentary pulse frequency, and executing polarization coherence screening and time-varying deconvolution collaborative filtering to eliminate artifacts; based on energy ratio dynamic decision reinspection or defect classification process implementation, inherent optical noise and real physical defects of a material are effectively separated, and the accuracy and reliability of coated glass defect detection are remarkably improved.

The invention discloses a power transmission image compression quality evaluation method based on multichannel fusion, belongs to the technical field of smart power grids, and solves the problem of how to enhance adaptive evaluation performance of image quality in scenes with different compression ratios. A multichannel feature processing module introduces learnable offset to realize dynamic alignment and effective fusion of multichannel features; the multi-scale attention fusion module is combined with multi-scale feature extraction and an attention mechanism, learnable position codes are introduced, and the sensitivity to local structure changes is enhanced while the global perception ability is ensured; the self-adaptive quality evaluation module captures different scale features and local information by constructing residual connection and a multi-branch structure, performs weighted fusion on multi-channel fusion features in combination with a dynamic weight generation mechanism, and realizes accurate judgment of the quality of a complex scene image under different compression levels; while the image compression distortion perception capability is improved, the adaptive evaluation performance of the image quality in scenes with different compression ratios is effectively enhanced.

The invention provides an image data secure transmission method, computing equipment and a computer storage medium. The method is applied to a data sender, and comprises the following steps: executing a first image encryption algorithm, and performing encryption processing on a transmission image through an image key to obtain a ciphertext of the transmission image; executing a first key encryption algorithm, and performing encryption processing on the image key through an encryption key to obtain an encrypted image key; the first image encryption algorithm is different from the first key encryption algorithm; and forming a transmission data packet from the ciphertext, the encryption key and the encrypted image key, and transmitting the transmission data packet to a data receiver. Therefore, a proper image encryption algorithm is adopted for the image data, and a proper key encryption algorithm is adopted for the image key, so that real-time performance and security are both considered in the image data encryption process through a mixed encryption mode.

The invention discloses an optical fiber transmission image recovery method and device based on a complex amplitude regulation metasurface diffraction device, and the method comprises the steps: obtaining the complex amplitude distribution of each diffraction layer through the training of a diffraction neural network, designing a corresponding metasurface array, and preparing a cascaded metasurface diffraction device with a complex amplitude regulation function, deploying a cascade metasurface diffraction device to the far end of the multimode optical fiber and performing complex amplitude modulation on emergent circularly polarized light to realize high-resolution or high-sampling-rate image recovery; or an optical fiber transmission inverse matrix is solved by using an analytical method, and a corresponding metasurface array is designed, so that the single-layer metasurface diffraction device with a complex amplitude regulation and control function is prepared; and deploying the single-layer metasurface diffraction device to the far end of the few-mode optical fiber and carrying out complex amplitude modulation on emergent circularly polarized light to realize low-resolution or low-sampling-rate image recovery. Miniaturization of a multimode optical fiber imaging system can be realized, and the image recovery quality is effectively improved based on complex amplitude modulation of the metasurface diffraction device.

The invention relates to the technical field of machine vision image analysis, in particular to a lubricating oil abrasive particle quality analysis method and system based on machine vision, and the method comprises the steps: obtaining a thickness distribution diagram of an oil residual layer on the surface of an abrasive particle through a gray ratio relation between a first transmission image and a second transmission image; performing optical compensation on the first transmission image to obtain a final compensation image, and performing phase consistency edge detection to obtain an abrasive particle edge enhanced image; calculating the polarization reflectivity ratio of each abrasive particle area; extracting the mirror reflection intensity difference of each abrasive particle in the abrasive particle edge enhanced image; and when the abrasive particles are analyzed as metal attributes according to the polarization reflectivity ratio and the specular reflection intensity difference, identifying the morphological characteristic parameters of the abrasive particles, matching the morphological characteristic parameters with a pre-stored abrasive particle wear characteristic library, and outputting a quality evaluation report of the lubricating oil according to a matching result. The influence of oil film interference is effectively inhibited, the metal particles are accurately distinguished, and high-precision analysis on the lubricating oil abrasive particles is realized.

There is provided a method for inspecting still hot glass containers. The method includes, for each container, acquiring at least one transmission image of the container illuminated by a source of a light passing through the container and at least one infrared radiation image of the container. The method also includes analyzing at least one transmission image and at least one infrared radiation image and ensuring a matching of at least part of the transmission image and at least part of the infrared radiation image. The method also includes classifying the container, from at least one transmission image and at least one infrared radiation image, matched with each other, in order to identify, for a container, at least one type of defect.

The invention relates to the technical field of wood defect detection, in particular to an X-ray-based sliding plate wood internal defect online detection system and a method thereof.The system comprises an X-ray imaging module, an infrared thermal imaging module, an image preprocessing module, a wood texture trend analysis module, a feature fusion module, a defect detection module and a defect positioning module; the X-ray imaging module and the infrared thermal imaging module collect a transmission image and a thermal image of wood respectively, the image preprocessing module carries out denoising, normalization, background removal and filtering processing on the images, the wood texture trend analysis module extracts wood surface texture trend information, the feature fusion module determines a fusion weight coefficient according to the texture trend information, and the fusion weight coefficient is used for analyzing the wood surface texture trend information. The feature fusion module is used for fusing the features of the X-ray transmission image and the infrared thermal image to generate a fused feature map, the defect detection module is used for carrying out deep learning analysis on the fused feature map to detect internal defects of wood, and the defect positioning module is used for outputting defect position coordinate information.

The invention discloses an unmanned aerial vehicle image semantic transmission and question-answering system and method driven by a large language model, and an image semantic extraction and quantification module carries out the semantic feature extraction of an original image captured by an unmanned aerial vehicle through a semantic encoder, and discretizes a feature vector through a codebook mechanism, and is used for wireless channel transmission. And the image reconstruction module recovers the transmission image from the semantic level according to the received discrete vector corresponding to the codebook shared by the receiving end and the transmitting end. And the image subtitle generation module takes the image recovered by the image reconstruction module as input, and generates text description information by using a BLIP subtitle generation system. And the cue word generation module generates a section of cue word according to the user task description and the text description information output by the image subtitle generation module. And the large language model question-answering module outputs natural language response to guide the next action of the unmanned aerial vehicle according to the cue word. According to the method, the robustness and efficiency of wireless image transmission under the condition of low signal-to-noise ratio are improved, the interpretability of a question answering system is improved, and the method has a certain practical value.

The invention discloses a defect detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a transmission image and a reflection image; respectively inputting the transmission image and the reflection image into an image contour extraction model to obtain contour images of the transmission image and the reflection image; wherein the image contour extraction model is trained by using a plurality of transmission images, reflection images and contour diagrams of the transmission images and the reflection images in advance; matching the generated contour image of the transmission image with the contour image of the reflection image to obtain contour matching coordinate points; matching the transmission image and the reflection image based on the contour matching coordinate points; pixel values of all pixel points on the transmission image and the reflection image are calculated and added to obtain a composite image; and comparing the pixel value of each pixel point on the synthesized image with a threshold value to determine a defect pixel point and a position coordinate thereof.

The invention belongs to the technical field of bridge structure defects, and particularly discloses an underwater bridge structure defect identification method based on machine vision, and the method comprises the steps: firstly, employing a water surface monitoring camera to detect water surface moving objects around a pier, and carrying out the recognition of the underwater bridge structure defects based on the types, distribution density and motion trails of the objects; constructing a static distribution interference factor and a dynamic motion interference factor, and performing weighted fusion to generate a water body detection interference coefficient. Meanwhile, the water turbidity and the real-time flow velocity are obtained by means of an underwater sensor, and the light supplementing distance, the red light proportion and the shutter speed are dynamically adjusted in combination with the water detection interference coefficient. Then, the ROV is controlled to descend with the axis of the pier as the spiral center, visible light and ray transmission images are synchronously collected according to the adjusted parameters, a panoramic image is formed through fusion splicing, finally, defect danger indexes are output through image recognition and fed back, efficient detection and accurate evaluation of the state of the pier are achieved, and reliability and effectiveness of defect recognition are enhanced.

The invention discloses a femtosecond laser three-dimensional pumping detection imaging method, which belongs to the technical field of ultrafast laser observation, and particularly comprises the following steps of: generating a laser pulse by using an ultrashort pulse laser, splitting the laser pulse by using a beam splitter to generate two beams of pulse light, namely pumping light and detection light, ablating a material by using the pumping light as an excitation source, reflection or transmission imaging is realized at different moments after the probe light passes through the time delay table; a detection angle is freely adjusted in space around a sample to be detected by rotating the light path propagation system, and a detection mode is switched between a reflection mode and a detection mode by rotating the imaging system; a multi-angle two-dimensional transient image is fused into a three-dimensional graph, plasma and a double-temperature model are expanded, the electronic dynamic characteristics of three-dimensional space distribution and the plasma eruption process can be calculated in an ultrafast scale, and three-dimensional information of a femtosecond laser ablation material is reduced. The problem that an existing imaging method cannot achieve three-dimensional imaging of the femtosecond laser processing ultrafast process at any angle in the space is solved.

The utility model provides a prism and a display device, the prism comprises a first surface, a second surface, a third surface and a fourth surface, the first surface, the second surface and the third surface are connected pairwise, one end of the fourth surface is connected with one end of the second surface, and the other end of the fourth surface extends in a direction far away from the third surface; wherein the image source light enters the first surface from the third surface, is totally reflected to the second surface, is finally totally reflected to the first surface and is transmitted to the eyes of a human body; the real light is transmitted into human eyes through the fourth surface, the second surface and the first surface. The prism is provided with the four surfaces, the first surface and the second surface are used for totally reflecting the light emitted by the image source and the light of the real world, and the third surface and the fourth surface are used for transmitting the light of the image source and the light of the real world, so that the light angle of the light of the image source and the light of the real world entering the prism is corrected. The image imaging effect of the prism is enhanced, so that the display device is smaller and lighter.

An X-ray inspection device includes a conveying unit, an X-ray irradiation unit, an X-ray detection unit, and a control unit configured to inspect whether foreign matter is included in an article based on an X-ray transmission image. The control unit performs a first inspection of using a predetermined threshold value to inspect whether the foreign matter having a lower attenuation rate of X-rays than the article is included in the article, performs a second inspection of using a machine learning algorithm to inspect whether the foreign matter is included inside the article, and determines that the foreign matter is included in the article in a case where the foreign matter common to inspection results of the first inspection and the second inspection is included in the article.

The invention discloses a lightweight copper ore sorting method based on dual-energy X-rays. The lightweight copper ore sorting method comprises the following steps that a dual-energy X-ray transmission graph of copper ore is collected; a CBAL2-Net model is constructed; an improved ResNet-50 model is constructed; taking the CBAL2-Net model as a student model, taking the improved ResNet-50 model as a teacher model, and designing a comprehensive knowledge distillation strategy to perform distillation operation on the student model and the teacher model to obtain a Res-CBAL2-Net model; the collected images are input into a Res-CBAL2-Net model, and the copper ore is sorted; according to the method, based on the constructed student model and the improved teacher model, a comprehensive strategy fusing multiple different distillation strategies is designed to conduct knowledge transfer on the model, the target model Res-CBAL2-Net is obtained, and compared with an existing mainstream model, the accuracy of copper ore separation is greatly improved.

The invention provides a physical guidance-based sparse coding-driven underwater image enhancement method, a program, equipment and a storage medium. The method comprises the following steps: constructing a physical guidance preprocessing method based on a Jaffe-McGammy model, and adaptively estimating an underwater transmission image and background light to realize preliminary degradation recovery; elastic regularization sparse coding is adopted, and through sparsity and smoothness combined constraint, salient structure information such as edges and textures of the image is effectively extracted, so that the image definition and the detail recovery capability are enhanced; cross-channel attention fusion is adopted, a multi-scale context modeling and channel interaction mechanism is introduced, and a physical degradation graph is combined for guidance, so that color consistency and semantic expression integrity between channels are remarkably improved, and the problems of color shift and information loss in an existing method are solved. According to the method, through joint optimization of multiple loss functions, the constructed underwater image enhancement network keeps the illumination accuracy, texture continuity and structural integrity of the image in multiple dimensions at the same time.

The invention discloses a copper ore preselection method based on a generative adversarial network and low-rank linear pooling. The copper ore preselection method comprises the following steps that a high-energy X-ray transmission image and a low-energy X-ray transmission image of copper ore are obtained; fusing the high-energy X-ray transmission image and the low-energy X-ray transmission image by adopting an improved generative adversarial network to obtain a dual-energy X-ray fusion image; constructing a copper ore pre-selection model; inputting the high-energy, low-energy and dual-energy X-ray fusion images of the copper ore into the model for feature extraction, fusing each extracted feature vector by adopting low-rank trilinear pooling, and then classifying to obtain a pre-selection result of the copper ore; according to the copper ore pre-selection model designed by the invention, through improving low-rank bilinear pooling and using a low-rank trilinear pooling feature fusion strategy, combined representation solution of three image features is realized, multi-modal data input requirements can be met, and the classification performance of copper ore target ore and waste rock is further improved.

The invention relates to a mask defect detection system based on polarization transmission and reflection combination. The system comprises a laser; the first polarization beam splitter is used for carrying out polarization beam splitting on the laser beam to generate P polarized light and S polarized light; the transmission light path is used for performing optical processing and polarization state adjustment on the P polarized light and then projecting the P polarized light to a mask plate; the reflection light path is used for performing optical processing and polarization state adjustment on the S polarized light and then projecting the S polarized light to a mask plate; the imaging light path is used for imaging when the P polarized light is transmitted from the mask plate to obtain a transmission image, and imaging when the S polarized light is reflected from the mask plate to obtain a reflection image; and the storage and operation module is connected with the imaging light path and is used for storing and operating the transmission image and the reflection image so as to analyze whether the mask has defects or not. According to the invention, transmission and reflection dual-polarization light path imaging is adopted, and various mask plate defects can be simultaneously and effectively detected.

An X-ray inspection device includes a transport unit, an X-ray irradiation unit configured to irradiate an article with X-rays, an X-ray detection unit configured to detect the X-rays in each of a plurality of energy bands, an X-ray transmission image generation unit configured to generate a plurality of X-ray transmission images on the basis of the X-rays in each of the plurality of energy bands, and an inspection unit configured to inspect whether or not a foreign matter is present or absent in the article on the basis of a difference image between the plurality of generated X-ray transmission images. The inspection unit detects a first foreign matter having a higher specific gravity than the article using a first threshold value and detects a second foreign matter having a lower specific gravity than the article using a second threshold value different from the first threshold value.

The invention provides a sterile filling process control method and system for midazolam oral liquid nitrogen charging protection, and relates to the technical field of medicine filling process control. After midazolam oral liquid is subjected to nitrogen charging, a headspace gas multispectral image sequence in a bottle before sealing is collected through a transmission imaging system integrated with a filling line; extracting oxygen characteristic absorption wave band light intensity attenuation data through spectrum separation, and generating a bottleneck plane oxygen two-dimensional concentration diagram; calculating the local oxygen partial pressure of the pixel, and constructing a three-dimensional oxygen concentration field and marking an oxygen-enriched area by combining pre-stored geometric parameters of the bottle body; and then the model reference adaptive controller is used for comparing the model with an ideal nitrogen model to generate supplementary parameters containing purging angle, intensity and time, an execution mechanism is driven to perform fixed-point pulse purging, and after verification reaches the standard, a screw cap is used for sealing, so that accurate detection, directional processing and standard verification of the headspace oxygen-enriched area in the midazolam oral liquid bottle can be realized, and the safety of the midazolam oral liquid bottle is ensured. And the oxygen concentration before sealing meets the standard.

The beam limiting device structure comprises a shell assembly, a chopping disc and a driving structure. The shell assembly comprises a front shell and a rear shell, the front shell and the rear shell are oppositely combined to form a cavity, the rear shell is provided with a fan-shaped collimation structure, the fan-shaped collimation structure comprises a transversely formed fan-shaped collimation slit, the front shell is provided with a groove, and the groove is aligned with the fan-shaped collimation slit. The chopping disc is arranged in the cavity, and a plurality of back scattering imaging slits formed in the radial direction and at least one transmission imaging slit formed in the tangential direction are formed in the chopping disc. And the driving structure is in communication connection with the chopping disc to drive the chopping disc to rotate, so that the transmission imaging slits and the fan-shaped collimation slits are matched to form a transmission imaging channel, and the plurality of back scattering imaging slits and the fan-shaped collimation slits are alternately intersected to form a back scattering imaging channel which reciprocates periodically. The double detection requirements for transmission imaging and back scattering imaging can be met at the same time.

The invention belongs to the technical field of image processing, and particularly relates to an image tampering protection method based on a steganography technology, which comprises the following steps of: S1, acquiring an image, inputting associated information, marking a key area on the image to obtain an initial image, and enabling the key area to be an area containing key information; s2, segmenting the initial image into a key region image and a non-key image, inputting the key region image and the non-key image into a steganography module, respectively embedding associated information into the key region image and the non-key image by the steganography module through a steganography technology, and combining the key region image and the non-key image into a transmission image; and S3, decomposing the transmission image through a steganography analysis module to obtain steganography information respectively positioned in the key area image and the non-key image, comparing differences between the steganography information at different positions, and judging whether the transmission image is tampered or not according to a difference value and an identification result. According to the method, the associated information is secretly transmitted through the image, and whether the image is tampered or not can be better judged.

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 present disclosure relates to the technical field of radiation imaging. Provided are an image processing method and apparatus, and a transmission scanning system. The image processing method comprises: performing sampling processing on a transmission image, so as to obtain an image to be processed, wherein the transmission image is obtained by using a multi-column detector to detect the transmission intensity of an object during transmission scanning; determining a region to be identified in said image; using a candidate depth to perform reconstruction processing on said region, so as to obtain a reconstruction result for said region; determining the edge sharpness of the reconstruction result; and when the edge sharpness is greater than a sharpness threshold value, using the candidate depth as the depth of said region.

Provided is an n-type GaN crystal, which has two main surfaces facing opposite directions from each other. One of the two main surfaces has a Ga polarity and is inclined at an angle of 0° to 10° with respect to the (0001) crystal plane. The n-type GaN crystal yields at least one X-ray anomalous transmission image having a square area of 10 mm×10 mm, preferably 15 mm×15 mm, and more preferably 20 mm×20 mm. In addition, the n-type GaN crystal has a Si concentration of 5×1016 atoms / cm3 or higher, O concentration of 3×1016 atoms / cm3 or lower, and / or a H concentration of 1×1017 atoms / cm3 or lower.

To effectively remove only a characteristic streak-like noise in an X-ray transmission image appearing near a detection limit, and create a good X-ray transmission image that does not largely affect image information other than the streak-like noise.SOLUTION: An image correction method for an X-ray internal inspection system includes: picking up X-ray transmission images of a plurality of dummy analytes that are formed of the same component as a main component of an analyte and different in a thickness from each other to acquire dummy X-ray transmission images DD1-DD4; generating pieces of dummy data DC1-DC4 that are one-dimensional averaged data for the dummy X-ray transmission images DD1-DD4; calculating correction data DCA that is interpolation one-dimensional averaged data corresponding to an analyte with an arbitrary thickness d to be inspected through interpolation processing using the dummy data DC1-DC4; irradiating the analyte with an X-ray to acquire a pre-correction image that is a pre-correction X-ray transmission image; and executing correction using the correction data DCA on the respective pixels in the scanning direction of the pre-correction image to remove a streak-like noise DL from the pre-correction image and thereby create a post-correction image.SELECTED DRAWING: Figure 10

The invention discloses a plate defect detection system and method and a storage medium, and relates to the technical field of image detection. Comprising the steps of capturing a plate image of a plate under an optical framework, obtaining a strain force distribution image in the plate according to the plate image, obtaining a transmission image of the plate, and obtaining an abnormal area in the transmission image, a stacked plate image, the strain force distribution image and the transmission image according to a positioning method. According to the plate image, the strain force distribution image and the transmission image obtained under the optical architecture, the area for positioning the abnormal position in the projection image according to the gray value is constructed, and the internal stress quantity of the abnormal area position is determined in combination with the strain force distribution image; and finally, the internal stress quantity is compared with the existing defect type characteristic database, so that the possible defects of the plate in the use stage are detected, and guarantee is provided for after-sales and subsequent replacement and maintenance of the plate.

An X-ray inspection apparatus includes: a transport unit configured to transport an article; an X-ray source configured to irradiate the article with X-rays; an X-ray detection unit configured to detect the X-rays using a photon counting method and to classify photon energy of the detected X-rays into two or more energy regions on the basis of a threshold value; a threshold value setting unit configured to set the threshold value; an X-ray image generation unit configured to generate two or more X-ray transmission images corresponding to the two or more energy regions on the basis of a detection result of the X-rays; and an inspection unit configured to inspect the article on the basis of the X-rays. The threshold value setting unit is configured to set the threshold value on the basis of gradations of the two or more X-ray transmission images.

The invention relates to an underground engineering fire hazard hazard detection and damage evaluation method, and belongs to the technical field of underground engineering safety monitoring. The method is based on the principle of muon transmission imaging, a three-dimensional monitoring network is constructed by arranging ground and drilling hole detection arrays, data such as muon flux, energy and incident angles are collected, coal rock density distribution is inverted, and a density situation map is generated. A weighted comprehensive discrimination model is established by analyzing carbon content change and combining fault, fracture and permeability characteristics, and a fire abnormal area is identified. Furthermore, damage variables are defined according to density changes before and after combustion, a fire area is divided into a core damage area, a transition damage area and an edge damage area, and quantitative and graded evaluation of the damage degree is achieved. The device has the characteristics of non-invasion, deep penetration and high resolution, is suitable for fire dynamic monitoring and damage evaluation of underground engineering such as coal mines and tunnels, and provides a reliable basis for fire early warning and post-disaster repair.

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.