20 results about "Image integrity" patented technology

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.

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.

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 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 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.

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 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.

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 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 application discloses an archive image data management system and method based on deep learning, and relates to the technical field of archive image data management.The method comprises the following steps: identifying an archive image and extracting a feature set thereof; monitoring keywords based on archive text features, verifying a first element and a second element in the archive; when an archive text feature tki appears in the archive image, determining whether the first element exists, and if not, adjusting the image integrity according to preset rules; if the first element exists, calculating the probability of the appearance of the text feature according to the frequency of the existence of the corresponding demand image when the text feature appears in historical data; comparing the calculated probability with a set probability threshold value, and if the calculated probability exceeds the set probability threshold value, increasing the archive image integrity by a set percentage point amplitude, and taking the adjusted integrity as the initial value for the next demand image probability calculation of the text feature, so that the archive image data management is realized.

The application provides a kind of multi-sensor fusion surgical procedure automatic management method and device, it is related to the technical field of automated process, method includes: by multi-source sensor data uniform timestamp alignment and space geometry solution, constructs the instrument pose flow and operating field geometric model under uniform coordinate system.Combining semantic segmentation and three-dimensional back projection generates occlusion probability graph and carries out cross-channel compensation reconstruction, improves image integrity.Through voxel field dispersion and short-time prediction, a conflict risk set is formed, and a standardized surgical procedure constraint is jointly solved to generate a scheduling instruction and a safety time window.Finally, the image, pose and physiological signal are mapped to the knowledge graph, the process node is identified by combining the timing attention, and the consistency discrimination and correction suggestion are output.The application can solve the problem of inaccurate surgical procedure management caused by the overlapping field of view of multi-source sensor data.

The invention discloses a robust zero watermark method based on Chebyshev-Fourier complex moment. The method aims at achieving high-robustness and lossless image copyright protection and is completed through three key steps of complex moment feature extraction, wavelet edge enhancement and zero watermark generation. The method specifically comprises the following steps: (1) a global image feature extraction module firstly maps an original image to a unit circle domain, calculates a Chebyshev-Fourier complex moment of the original image, extracts amplitude features with rotation and scaling invariance, and constructs stable initial feature representation; (2) a local feature enhancement module which introduces one-dimensional wavelet transform to process an amplitude sequence, captures a feature change trend by using a high-frequency coefficient, enhances the response ability to image edges and local details, and improves the feature stability under the attacks of cutting, noise and the like; and (3) the robust zero watermark generation module binarizes the enhanced features to form an image feature map, and generates a final zero watermark through XOR operation in combination with chaotic encrypted watermark information, thereby realizing copyright binding without modifying a carrier image. According to the method, on the premise that the image integrity is guaranteed, the resistance of a watermark system to geometric attacks and signal interference is remarkably improved, and the method is suitable for digital copyright protection and content authentication scenes with high safety requirements.

An image editing method and device, electronic equipment, storage medium and program product are disclosed. The specific implementation scheme comprises: determining a to-be-edited image and an embedding feature vector corresponding to the to-be-edited image; extracting a key point vector of the to-be-edited image; determining control information and an attribute control code corresponding to the control information; and generating an edited image based on the to-be-edited image, the embedding feature vector, the key point vector and the attribute control code. By determining the embedding feature vector of the to-be-edited image, the identity feature of the target object is extracted, the position of the target object is controlled through the key point vector, the occurrence of geometric misplacement is reduced, the multi-modal control is realized through the control information, the editing of the to-be-edited image is completed under the condition of ensuring the integrity of the image, and the accuracy of image editing is improved.

This application discloses a method and related apparatus for generating text and images, relating to the field of computers. This application overlays elements onto an original underlying image based on the template features of a template image to generate initial text and images. Since the template features include the text style, layout, and background features of the template image, the text elements in the initial text and images can replicate the template style. Furthermore, the generated initial text and images undergo a base image integrity check. If the check passes, the initial text and images are output as the target text and images, ensuring that the final generated text and images possess base image integrity. Therefore, applying this application can achieve text and images generation tasks that meet the design requirements of text and images products, and can also achieve accurate replication of template images.

The invention discloses an AI parking space state detection method based on multimode data, and the method comprises the steps: collecting historical multimode data and same-period image data of a target parking space, building a training sample set after marking, inputting a pre-training model, and outputting the calibration weight of each sub-mode; multi-modal data and environment parameters are collected in real time, weighted calculation is carried out after weight is dynamically adjusted, and the state of no vehicle, standard parking or non-standard parking is judged according to a score interval; and if the integrity detection is not qualified, the image is complemented based on the calibration weight in combination with the multi-view and color features, and the state is verified. The method solves the problems that the prior art is susceptible to environmental interference, depends on image data and is low in detection accuracy, improves the robustness and environmental adaptability of parking space state detection, can achieve accurate recognition without images, and reduces the labor cost.

The present application relates to medical image processing technical field, specifically for the medical equipment optical system calibration method and system based on image processing, including the following steps: through the capture medical equipment in the calibration image, the boundary structure of optical calibration grid is analyzed, the pixel distribution characteristics of segmentation boundary are screened, the geometric description features of calibration image are extracted, and the geometric distortion distribution diagram is generated. In the application, the geometric distortion area is accurately identified by capturing the calibration image and analyzing the boundary of the optical calibration grid, the accuracy of the distortion compensation image is improved, the nonlinear distortion is compensated by partition, the image quality of each area is optimized, the coherence of the image boundary is improved, the structure symmetry and the curvature change area are optimized, the distortion of the detail area is repaired, the edge detail is smoothed, the image quality is improved, the amplitude distortion of the optical calibration grid is effectively controlled, the edge detail distortion is reduced, the image integrity and consistency are ensured, and the image precision and the reliability of the optical system are significantly improved.

This application discloses a binocular image encoding method, apparatus, storage medium, and computer program product. The method includes: acquiring first environmental parameters of a first region where a first binocular camera is located within a current time period; determining first acquisition parameters of the first binocular camera within the current time period based on the first environmental parameters; acquiring a binocular image of the first region acquired by the first binocular camera according to the first acquisition parameters; extracting image texture features from the binocular image; and determining an image encoding strategy for the binocular image based on the image texture features, so as to encode the binocular image according to the image encoding strategy. This application solves the technical problems of related technologies where setting the acquisition parameters of the binocular camera solely based on human experience leads to poor image quality, and encoding the acquired image according to fixed encoding parameters results in low encoding efficiency and poor image integrity after encoding.

The invention discloses a line scanning image splicing method, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a current line scanning sub-image and a previous line scanning sub-image in a process of scanning a target region, and enabling sub-regions included in the current line scanning sub-image and the previous line scanning sub-image to be adjacent regions in the target region; and performing connected domain splicing processing on the current line scanning sub-graph and the previous line scanning sub-graph to obtain a target line scanning graph. Therefore, the high-efficiency real-time performance of image segmentation processing is ensured, and the image integrity is improved.