49 results about "Image integrity" patented technology

The invention provides an automatic operation process management method and device based on multi-sensor fusion, and relates to the technical field of automatic processes, and the method comprises the steps: constructing an instrument pose flow and operation field geometric model under a unified coordinate system through unified timestamp alignment and spatial geometry solution of multi-source sensor data; semantic segmentation and three-dimensional reprojection are combined to generate a shielding probability graph, cross-channel compensation reconstruction is carried out, and the image integrity is improved. And forming a conflict risk set through voxel field discretization and short-time prediction, and performing combined solution with standardized operation process constraints to generate a scheduling instruction and a safety time window. And finally, mapping the image, the pose and the physiological signal to a knowledge graph, and outputting consistency judgment and deviation correction suggestions in combination with a time sequence attention recognition process node. According to the method, the problem that the operation process management is not accurate enough due to the problems of view overlapping and the like of multi-source sensor data can be solved.

Example solutions enhance security of bootable media images during bare metal restores. A boot image generation request and original image integrity data is received from a first computing device. An original image timestamp associated with the boot image generation request is stored. A message is received from a second computing device that includes current image integrity data generated by the second computing device using a current boot image. The original image integrity data is verified to match the current image integrity data. The message is determined to have been received within a length of time from the original image timestamp. A registration of the second computing device is performed within the device management system based on the verification and the determination.

The invention discloses a nighttime light remote sensing image super-division method and system using multi-source remote sensing data, and the method comprises the steps: collecting an NPP-VIIRS low-resolution nighttime light image, a Landsat-8 image and a Luoma No.1 high-resolution nighttime light image, carrying out the preprocessing, feature texture extraction, resampling, and data set construction. Constructing a U-Net neural network model for increasing a channel attention mechanism to carry out super-resolution processing from a low-resolution image to a high-resolution image; according to the method, detail information in the low-resolution image is effectively supplemented, the image super-resolution precision and the image integrity are improved, compared with the prior art, the high-quality and richer night light super-resolution image is provided, and the method has the advantages of being advanced in algorithm, high in precision and high in intelligent degree and is suitable for popularization and application. And a high-quality data basis is provided for subsequent remote sensing image analysis and data extraction.

The invention discloses a medical image robust watermarking algorithm based on a re-parameterized high-efficiency attention network, and relates to the field of image data processing methods, and the algorithm comprises the steps: obtaining an original medical image; a pre-trained RepEA-Net model is used for extracting multi-scale deep features with good generalization performance from an original medical image, and then a mean perceptual hash algorithm is used for generating feature vectors. Obtaining an original watermark image; the watermark image is encrypted by using a Logistic chaotic encryption algorithm, the security of the watermark image is improved, and finally, the encrypted watermark image and the binary feature vector are subjected to XOR operation to generate the zero watermark. Through the innovative design of the re-parameterization efficient attention network, the contradiction among robustness, generalization and image integrity of a traditional medical image watermarking algorithm is broken through, and a solution with technical advancement and clinical practicability is provided for copyright protection and safe transmission of medical images in the medical Internet of Things.

Embodiments of the present disclosure provide a video processing method and apparatus, and a device. The method comprises: acquiring a reference image and text information; determining a target action video corresponding to the text information; if first human body key point information of the reference image fails to match second human body key point information of a target image frame in the target action video, performing inpainting processing on the reference image to obtain a target reference image; and generating a target video on the basis of the target reference image, the text information, and the target action video. In this way, an electronic device can automatically determine the target action video on the basis of the text information, and a user does not need to manually upload a guiding action video; and additionally, automatic inpainting processing for the reference image can be achieved, avoiding limitations on image integrity, enriching interaction forms of the user, improving the flexibility of user interaction, and meeting diversified requirements of the user.

The invention relates to the technical field of defect detection imaging, and discloses a high-precision three-dimensional imaging method and system based on continuous magnetic flux leakage data. Collecting surface magnetic flux leakage signals of a measured target to form an initial signal set, and extracting feature vectors by using a convolutional neural network model; separating three-dimensional space data, and obtaining initial three-dimensional position coordinates of the defect through an iterative mapping algorithm; mining spatial geometric features, determining potential geometric boundaries, and fusing data to construct a refined position model; extracting a detection subset, correcting a shape error, constructing a space reconstruction grid, filling holes, and obtaining a complete three-dimensional shape representation; and through precision calibration and signal matching verification, a high-precision three-dimensional image is output. According to the method, the defect positioning and shape reconstruction precision can be effectively improved, the imaging integrity and accuracy are guaranteed, the problems of fuzzy positioning and shape distortion of traditional magnetic flux leakage imaging are solved, and the defect detection requirements of a complex detected target are met.

The invention provides an electric power communication image authentication method, which constructs a key system based on quantum cryptography, improves the robustness of authentication mapping by using a perfect Hash mechanism, and realizes accurate identification and self-recovery of a tampered area in combination with an image coding mechanism and a hierarchical extension watermark embedding strategy. The method is especially suitable for scenes with extremely high requirements on image integrity and credibility in a power system.

Embodiments of the present application provide a structured light camera parameter correction method, device, storage medium and program product. The method corrects the light source output intensity of the structured light camera based on the collected image when the brightness difference degree of the image collected by the structured light camera is greater than or equal to a brightness difference degree threshold, to compensate for the brightness of the underexposed area and / or suppress the brightness of the overexposed area; until the brightness difference degree of the image collected by the structured light camera is less than the brightness difference degree threshold, the corrected light source output intensity is determined as the final light source output intensity, which can supplement the effective signal intensity of the edge and both sides of the field of view, suppress the effective signal intensity of the center area of the field of view, make the brightness values in the full field of view range consistent, solve the problem of uneven brightness distribution of the field of view, and improve the imaging integrity while meeting the timeliness requirements of industrial real-time imaging.

This invention relates to a method for automatically adjusting the initial depth of an image in an ultra-high frequency ultrasound system, comprising the following steps: Step 1: During image scanning, checking image stability; Step 2: Detecting the position on the skin surface; Step 3: Cropping the image. This invention provides image integrity, facilitating observation.

The invention relates to a stable display method based on a UDP (User Datagram Protocol) in a real-time image transmission process. The stable display method comprises the following steps of: constructing a UI (User Interface) basic class in a Qt framework; constructing three thread objects in the basic class, namely data receiving, data processing and image processing; in the data receiving thread, image data monitoring is carried out in a UDP network port channel in real time and is transmitted to the data analysis thread, and circulation is carried out; meanwhile, adding a dynamic buffer setting algorithm in a slot function; starting a data processing thread, performing analysis processing on the received data packet, transmitting complete image data to an image processing thread, and continuing to repeat the operation; the image processing thread is responsible for transmitting the image data to an image display control of the UI interface for display, and the operation is continuously repeated; and observing an algorithm execution effect, and evaluating a resource utilization rate and image integrity. According to the invention, the problem of unstable image display in the real-time image transmission process of the laser communication UDP can be solved, and stable display of the image with minimum resources is ensured.

This disclosure provides a display control method and device, electronic equipment, and storage medium for a mine safety monitoring system, relating to the field of monitoring technology. By constructing display modules to splice together a mine display surface, a distributed signal processing system is used to uniformly process multi-source heterogeneous monitoring signals from underground mines and generate a network data stream that can be visualized and dragged for layout. The system performs regional time-sequential power-on management on the mine display surface and adaptively adjusts the driving parameters of the corresponding display areas based on the operating status information collected by sensors. Simultaneously, when a pixel-level anomaly is detected, a pixel compensation mechanism is triggered, and an anomaly report with precise location identifiers is generated synchronously. Therefore, it can solve the problems in existing technologies such as poor protection performance of display devices, complex and rigid multi-source signal processing, inconvenient layout operation, loss of image integrity when pixels are abnormal, and difficulty in fault location and maintenance.

The present application discloses a method, device, equipment and storage medium for detecting an epidermal contour. By acquiring a panoramic epidermal image, image enhancement is performed on the panoramic epidermal image to obtain an enhanced epidermal image, eliminating the jagged boundary problem caused by image stitching and reducing image noise; then, based on a preset structural element, breakpoint connection is performed on the enhanced epidermal image to obtain a target epidermal image, ensuring that the skin surface tissues on the image are connected without breakage, thereby improving the image integrity; finally, using a preset contour detection algorithm, contour detection is performed on the target epidermal image to obtain the contour coordinates of the panoramic epidermal image. The present application can effectively exclude the interference of isolated point noise, avoid defects in boundary delineation, improve the detection accuracy, and at the same time, without the need for the user to manually trace the contour, improving the detection efficiency.

The invention discloses an appearance detection device for a new energy lithium battery cell based on 3D vision, which applies a detection device, and the 3D detection comprises narrow surface 3D detection, large surface 3D detection and upper and lower surface 3D detection. The transplanting device comprises narrow surface detection transplanting; the narrow face 3D detection comprises narrow face 3D left detection and narrow face 3D right detection, the narrow face 3D left detection and the narrow face 3D right detection are symmetrically arranged on the two sides of the narrow face detection transplanting part, and the narrow face 3D left detection and the narrow face 3D right detection are the same in structure; the narrow-face 3D left detector comprises a 3D camera and a fixing assembly, and the 3D camera is installed on the fixing assembly. The fixing assembly is installed on the support. And the structures of the large-surface 3D detection, the upper-lower-surface 3D detection and the narrow-surface 3D detection are the same. The problem that an existing photographing device is poor in integrity of collected images and single in function is solved.

The invention relates to the technical field of image detection, in particular to a territorial change investigation and monitoring-oriented proof image quick import and quality detection method, which comprises the following steps of: importing proof images from a plurality of heterogeneous image sources in parallel, analyzing geographic coordinates, shooting time and image format attributes through a metadata extraction engine, and determining the quality of the proof images according to the geographic coordinates, the shooting time and the image format attributes; and a standardized template is adopted to complete metadata structure unification. And then constructing a multi-dimensional quality detection chain, automatically detecting the space consistency, the time effectiveness and the image integrity of the proof image, generating a multi-dimensional quality score based on a weighted scoring mechanism, and outputting a high-quality, qualified and unqualified image quality grade set according to a preset threshold value. And for unqualified images, defect types are automatically identified, quality improvement rules are matched to generate improvement suggestions, re-acquisition scheduling is executed, and tasks are assigned to acquisition terminals. According to the invention, full-process automation of evidence-proof images from import, detection to improvement is realized, and the reliability of land change investigation evidence-proof data is improved.

The present invention discloses a method and device for 3D object reconstruction based on binocular structured light. The method comprises: constructing a binocular structured light system comprising a projector, a first camera, and a second right camera, and determining an optimal working distance that satisfies a first error function; using the first camera and the second camera to respectively acquire a first point cloud and a second point cloud corresponding to the 3D target object under projection by the projector; and registering and fusing the first point cloud and the second point cloud using the determined overall position transformation relationship between the point clouds, wherein the overall position transformation relationship between the point clouds is obtained by coarse and fine registration of standard parts. The present invention has the advantages of high accuracy, high speed, and high reconstructed image integrity.

This invention discloses a skin analyzer based on mechanical motion and multi-angle imaging with a reflector, belonging to the field of skin analyzer technology. It includes a housing, a lifting assembly inside a fixed frame, an angle adjustment assembly on one side of a moving rod, a reflector surface on one side of the angle adjustment assembly, and a rotating assembly on the other side of the moving rod. A light panel is symmetrically arranged inside the housing, and a moving assembly is located at the bottom of the moving frame, with a forehead support at the bottom of the moving assembly. This invention uses the moving rod to move the connecting seat and the moving plate, thereby causing the lifting frame and lifting ring to move upwards. The lifting ring and rollers then rotate the rotating frame, which in turn rotates the rotating rod and rotating seat fixedly connected to the rotating frame, causing the reflector surface to rotate. This ensures that the reflector can completely cover the side profile area of ​​different face shapes, avoiding missed images and ensuring full-angle image integrity without manual intervention.

The invention provides a reversible data hiding method and device for an encrypted image, a medium and a product, and relates to the technical field of reversible data hiding, and the method comprises the steps that each data hiding person end converts a pixel value of a share image into a binary sequence, and modifies the last bit of the binary sequence to obtain a first sequence; and taking the first sub-sequence and the second sub-sequence as new pixel value pairs, and sequentially converting pixel values of the share image into new pixel value pairs to obtain a marked share image. According to the method, reversible data hiding of the encrypted image is completed through three-end cooperation of the data owner end, the multiple data hiding person ends and the data receiver end in combination with block scrambling, secret sharing and Hamming coding, and the data security and the image integrity are guaranteed under the condition that a single data hiding person end is attacked or breaks down; and moreover, the embedding rate is improved by embedding the secret data for three times, the requirements of high-capacity information transmission and storage can be met, the calculation complexity is reduced, and the image recovery precision is improved.

The invention discloses a mirror image processing method, device and equipment and a readable storage medium, and the method comprises the steps: reading mirror image data of two partitions and calculating an original hash value in a system starting process; the target mirror images are written into the two partitions in the system burning process. And the data burning integrity can be verified by comparing the original hash values of different partitions. If verification is passed, the system can continue to run. In the process of operating the system, hash values during operation are obtained respectively. And comparing the runtime hash value with the corresponding original hash value to verify the integrity of the runtime mirror image. And performing data recovery according to the integrity verification condition, and performing exception handling under the condition that the data recovery fails. According to the method, the mirror image integrity can be verified, mirror image repair can be carried out on the corresponding partitions under the condition that the mirror image integrity verification is not passed, so that the mirror image integrity is guaranteed, and exception handling is carried out as little as possible to guarantee normal operation of a system.

This invention discloses a method, apparatus, device, and storage medium for color image protection based on a neighboring pixel difference strategy, belonging to the field of information security technology. The invention generates a target embedded watermark based on the original color image; embeds the target embedded watermark into the original color image to obtain a target color image; performs tamper detection on the image to be detected to obtain an image tamper detection result; if the image tamper detection result indicates tampering, the tampered image is restored to obtain the target color image. This invention first embeds the generated target embedded watermark into the original color image, and then performs tamper detection on the image to be detected, thereby effectively judging the integrity and authenticity of the image and achieving the protection of image data.

The invention discloses a vision-based train running distance SIL4 measurement method, which comprises the following steps of: S1, respectively mounting two sets of cameras on the left side and the right side of a train body, and downwards facing a steel rail; s2, when the train moves on the track, the camera collects images below the track in real time; s3, averaging the collected image gray values, and adjusting the image of which the image gray average value exceeds a preset range through the brightness of a light source until the image reaches the preset range; s4, on the premise of judging that the image integrity is good and the light source state is good, real-time displacement is calculated for each visual channel; and S5, comparing displacement calculation results of the visual data sources on the two sides, voting the consistency of calculation, and taking a displacement value passing the consistency voting as final train displacement measurement data. According to the invention, distance measurement of the highest SIL4 security integrity level can be realized.

The application relates to the technical field of defect detection imaging, and discloses a high-precision three-dimensional imaging method and system based on continuous magnetic flux leakage data. A magnetic flux leakage signal of a measured target surface is collected to form an initial signal set, and a convolutional neural network model is used to extract a feature vector; three-dimensional space data is separated, and a preliminary three-dimensional position coordinate of a defect is obtained through an iterative mapping algorithm; spatial geometric features are mined, potential geometric boundaries are determined, data is fused to construct a refined position model; a detection subset is extracted and shape errors are corrected, a space reconstruction grid is constructed and holes are filled, and a complete three-dimensional shape representation is obtained; through precision calibration and signal matching verification, high-precision three-dimensional imaging is output. Through the application, the positioning and shape reconstruction precision of defects can be effectively improved, the imaging integrity and accuracy are guaranteed, the problems of traditional magnetic flux leakage imaging positioning ambiguity and shape distortion are solved, and the defect detection requirements of complex measured targets are adapted.

The application belongs to the technical field of computers and specifically discloses a box clamping point estimation method and device based on a depth camera and electronic equipment, the method comprising: obtaining a pretreated image and a pretreated point cloud of a box through a depth camera; fitting a horizontal plane based on the pretreated point cloud, determining the horizontal plane, and obtaining a projected point cloud by projecting the point cloud to the horizontal plane; obtaining the positions of the four intersection points of the rectangular bottom surface of the box based on the projected point cloud and the size of the rectangular bottom surface of the box; and estimating the box clamping point based on the clamping point height and the positions of the four intersection points of the rectangular bottom surface. The application calculates the clamping point through the geometric features and size constraints of the point cloud, avoids the cumbersome operation of pasting a two-dimensional code, and improves convenience. Meanwhile, the calculation through plane fitting, point cloud projection and straight line intersection point determination reduces the dependence on the completeness of the box image, has better robustness, and reduces the instability of the result caused by incomplete images.

The present invention relates to a method, device, electronic device, and medium for determining image integrity, comprising: receiving a corrected image, the corrected image including an image of a correction card, each of the four corners of the correction card being provided with a specific marker; preprocessing the corrected image to obtain a test image; identifying a specific marker area contained in the test image, the specific marker area being the imaging area of ​​the specific marker in the test image; dividing the four corners of the test image into four corner areas of preset sizes, and determining whether all four corner areas contain the specific marker area; if all four corner areas contain the specific marker area, and the image parameters of the specific marker areas in the four corner areas meet preset image parameter requirements, determining that the corrected image is complete. This solution achieves accurate judgment of image integrity by tracking changes in the specific markers at the corners of the correction card. It is not easily disturbed in judging the integrity of the fingerprint image, and the judgment result is stable and reliable.

The invention belongs to the field of oral cavity skin flap shooting, and provides an oral cavity endothelial flap state shooting device which comprises a flexible shell, one side of the flexible shell is fixed and communicated with a sleeve, an inner cavity of the sleeve is provided with an extension tube, one side of the extension tube is provided with a plurality of angle adjusting mechanisms, and each angle adjusting mechanism comprises a connecting tube; through cooperative cooperation of the shooting mechanism, the flexible and adjustable extension tube and the angle adjusting mechanism, multi-angle and non-blind area imaging can be realized in a narrow oral space, key area omission caused by operation experience difference is avoided, the image integrity and comparability are improved, and the imaging efficiency is improved. The integrated camera module is combined with a high-resolution sensor, an infrared mode and annular illumination, the skin flap image definition and the blood supply monitoring accuracy are improved, imaging is more reliable, the extension tube is rapidly locked to the sleeve through the butt joint block and the insertion rod, tool disassembly and assembly are not needed, maintenance is simplified, and sealing performance and portability are improved.

This invention relates to the field of image processing and discloses an image filtering method based on machine learning. The key technical points of this method include image acquisition, light source feature acquisition, partitioning calculation, processing strategy matching, and image processing. A pre-trained machine learning model identifies regions affected by image illumination and accurately extracts multi-dimensional light source features. After partitioning the image, the confidence scores and influence scores of bright and dark areas are calculated by combining the light source features with the region's own features. Differential processing strategies and intensity parameters are then matched to optimize each region accordingly. This method effectively distinguishes between illumination changes and the intrinsic features of the detected object, solves the image distortion problem under complex illumination, fully preserves the features of the detected target, improves image integrity and usability, enhances the robustness and accuracy of the filtering method, and is suitable for complex detection scenarios in rail transit.

The present application relates to an image rotation correction method, system, electronic device and storage medium. Among them, the image rotation correction method includes: obtaining an original image, inputting the original image into a well-trained saliency detection model to obtain a saliency map; inputting the original image and the saliency map into a well-trained feature extraction network to obtain an image rotation result; and performing rotation correction on the original image according to the image rotation result to obtain a target corrected image. Through the present application, the problems of long time consumption for image rotation correction and poor image integrity are solved, and rapid rotation correction of arbitrary images in different scenarios is achieved.

The invention discloses a new energy lithium cell appearance detection device based on vision, which applies a detection device, and the 2D detection comprises narrow surface 2D detection, large surface 2D detection and upper and lower surface 2D detection. The narrow-face 2D detection comprises a narrow-face 2D left detection part and a narrow-face 2D right detection part, the narrow-face 2D left detection part and the narrow-face 2D right detection part are symmetrically arranged on the two sides of the narrow-face detection transplanting part, and the structures of the narrow-face 2D left detection part and the narrow-face 2D right detection part are the same; the narrow-face 2D left detector comprises a camera support block, a fine adjustment sliding block, a 2D camera, a protective cover, a lamp box and strip-shaped light sources, the fine adjustment sliding block is connected with the camera support block, the 2D camera is arranged above the fine adjustment sliding block, the protective cover is arranged above the 2D camera, the lamp box is connected with the camera support block, and the strip-shaped light sources are arranged on the edge of the lamp box in a square shape; the large surface 2D detection structure, the upper and lower surface 2D detection structure and the narrow surface 2D detection structure are the same. The problem that an existing photographing device is poor in integrity of collected images and single in function is solved.

The invention relates to the technical field of fan detection, in particular to a method and a device for detecting fan operation parameters of a wind power tower drum, and the method comprises the steps: carrying out the detection of the fan operation parameters of the wind power tower drum based on fan blade images continuously collected by image collection equipment disposed on the wind power tower drum in the fan operation process; obtaining a central axis equation of the target fan blade closest to the image acquisition equipment; based on the central axis equation of the target fan blade corresponding to the multiple frames of fan blade images, the hub center coordinate of the fan is obtained; based on the hub center coordinate and the contour equation of the target fan blade, the maximum value and the minimum value of the rotation angle of the target fan blade are obtained; based on the maximum value and the minimum value of the rotation angle, the yaw angle of the fan is obtained; and obtaining the rotating speed of the fan based on the interval time of the maximum value of the rotating angle appearing in the multiple frames of fan blade images. According to the technical scheme, the inherent requirement for fan blade image integrity can be broken through, and the flexibility and accuracy of fan operation parameter detection are improved.

The present application provides an image correction method, device, and equipment, which includes: obtaining a pixel point to be corrected in an original image, and obtaining a first image area corresponding to the pixel point to be corrected from the original image, wherein the central pixel point of the first image area is the pixel point to be corrected; dividing the first image area into K pixel blocks, where K is a positive integer greater than 1; selecting a target pixel block from the K pixel blocks based on the pixel features corresponding to each pixel block; correcting the pixel value of the pixel point to be corrected based on the pixel features corresponding to the target pixel block to obtain the corrected pixel value of the pixel point to be corrected; and generating a corrected image based on the corrected pixel value of the pixel point to be corrected. The technical solution of the present application solves the problem of severe loss of detail information and effectively improves the detail restoration and image integrity of the image.

The present invention provides a real-time image stitching method and system without illumination influence, comprising the following steps: obtaining a first prefabricated template and a second prefabricated template; determining a first correction parameter according to the first prefabricated template; determining a second correction parameter according to the second prefabricated template; scanning a pathological slice using a scanner, during the scanning process, each pathological slice image to be stitched obtained by scanning with the scanner can be directly stitched after being corrected by the first correction parameter and the second correction parameter, so that a complete pathological slice image can be obtained by scanning and stitching at the same time during the scanning process; the beneficial effects of the present invention are as follows: the present invention uses the first correction parameter and the second correction parameter to restore the orthographic projection image of the pathological slice image to be stitched and correct the position of the pathological slice image to be stitched, which can maintain the integrity of the image, stitch images containing blank samples, sparse samples or images with very few features, and can also perform stitching while scanning.