207 results about "Image rotation" patented technology

A method for decoding an image includes receiving information on image partitioning for the image included in a bitstream; obtaining a plurality of image partitions included in the image based on the information on image partitioning; and decoding the plurality of image partitions. Each image partition comprises a plurality of default encoding parts, each default encoding part is selected from a plurality of candidate default encoding parts, each candidate default encoding part is composed of one or more encoding sub-units. The bitstream includes information on rotation of the image.

The invention is suitable for the field of computer vision recognition, and provides a grabbing control method and system of a mechanical arm and electronic device.The method comprises the steps that an image is detected and segmented, and an initial mask area containing non-zero pixel points and corresponding to a detection target is obtained; based on the position information and the color information of the non-zero pixel points, screening target pixel points forming a detection target to obtain a target mask region containing the target pixel points, according to the depth value of the target pixel point, the position information of the center pixel point, camera parameters, a transformation matrix from the target camera to the tail end of the mechanical arm and a transformation matrix from the tail end of the mechanical arm to a mechanical arm base, calculating a target three-dimensional coordinate of the detection target in a mechanical arm base coordinate system; calculating a target grabbing angle based on the image rotation angle of the detection target and a deviation angle between a grabbing tool at the tail end of the mechanical arm and the detection target; and controlling a grabbing tool to grab the detection target according to the obtained coordinates and angles. According to the scheme, the grabbing accuracy of the mechanical arm can be improved.

The utility model belongs to the technical field of semiconductor equipment, and provides a wafer edge defect detection device which is used for wafer edge defect detection and comprises a bearing table top, a first camera shooting part, a rotating shaft and an image processing part, a wafer is placed on the upper surface of the bearing table top, and the first camera shooting part is located above the bearing table top and aligned with the wafer edge; the rotating shaft is connected to the lower surface of the bearing table top and can drive the bearing table top to rotate, and the image processing part is connected to the first camera shooting part and processes the received wafer edge image to generate a wafer profile diagram, and the obtained wafer profile diagram is compared with a wafer template diagram; according to the invention, the edge defect position of the wafer can be obtained, and the edge defect position is marked and stored, so that the detection efficiency and the detection accuracy of the wafer defect are effectively improved.

The invention discloses an image rotation detection and image rotation elimination adjustment method applied to a laser communication optical system, belongs to the technical field of space laser communication, and solves the problem that the space layout compactness, link energy transmittance and the like of the laser communication system are influenced by adopting a traditional rotation elimination device such as a Dove prism and a K mirror. The positions and angles of the left side collimator and the right side collimator are respectively adjusted to realize coaxial and detection reference transmission; placing the detected laser communication system between the two collimators, and adjusting a rotary table pitch angle of the laser communication system to enable a telescope of the laser communication system to be respectively aligned with the two collimators; extracting and recording light spot centroid coordinates of laser emitted by the two light tubes focused on the area-array camera of the laser communication system; calculating to obtain an image rotation angle; and adjusting the angle of a plane mirror in the laser communication system and carrying out iterative detection until the image rotation angle is reduced to meet the design requirement, thereby completing the adjustment work of the image rotation of the pitch axis of the detected laser communication system.

Techniques for implementing image rotation control using reflective waveguide facets in an AR eyewear display system are disclosed. A facet (602) is disposed in a light propagation path located between a first surface (S1) and a second surface (S2) of a waveguide (600) and is arranged to guide propagation of light for a display through the facet from the first surface to the second surface. Using this configuration, light is transmitted through the facet as it guides propagation of the light from the first surface to the second surface, which reduces the amount of image rotations or inversions that would otherwise be induced in the waveguide using conventionally oriented facets and thus simplifies or optimizes the design of other aspects of an AR eyewear display system, such as display source placement or orientation or form-factor bulkiness.

The invention discloses a vehicle gauge chip integrated packaging manufacturing process based on an etching technology. The vehicle gauge chip integrated packaging manufacturing process comprises the following steps: step 1, designing and preparing a substrate; step 2, preprocessing the chip; step 3, chip mounting and interconnection are carried out; step 4, plastic packaging and molding; 5, heat dissipation and reinforcement are carried out; step 6, image rotation correction and defect detection; step 7, performing post-working procedures and testing; high-density interconnection such as TSV (through silicon vias), RDL (redistribution layer) and micro bumps is realized by using an etching technology, the interconnection density is remarkably improved, the RDL wiring layer manufactured by using the etching technology has the line width less than 2 microns, high-density interconnection on the surface of a chip is realized, the integration level is further improved, the micro-channel is manufactured in the plastic package layer by using the etching technology, and the packaging efficiency is improved. And the copper radiating fins are embedded, so that the radiating efficiency is effectively improved, the problem of local heat accumulation caused by integration of the power chip and the logic chip is solved, a gap between the chip and the radiating cover plate is filled with a thermal interface material with high thermal conductivity, and the thermal resistance is reduced.

The invention relates to an image rotation angle recognition and correction method and system, and relates to the technical field of image processing, and the method comprises the steps: collecting an original image, marking and rotating a corresponding image rotation angle, obtaining a corrected image, and constructing a training set; selecting a corresponding neural network according to the model architecture, and constructing an initial regression model in combination with a preset improved loss function; rotating the corrected image according to a random angle, constructing a training sample, and iteratively training the initial regression model in combination with the training set to obtain a rotation angle recognition model; recognizing and judging the original image through the rotation angle recognition model, and outputting an image rotation angle; rotating the original image according to the image rotation angle to obtain a corrected image; the recognition of any rotation angle of the image is realized by improving the L1 loss function, and the robustness and accuracy of the rotation angle recognition model are improved.

The invention provides an anchor-frame-free remote sensing image rotating target detection method based on angle attention, and belongs to the technical field of computer vision and remote sensing image processing. The method comprises the following steps: inputting a remote sensing image and extracting multi-scale features by using a backbone network; an optimal angle feature is extracted and selected through an angle feature extraction module and a feature pyramid network; a detection head is added to multi-scale output of the feature pyramid network for classification, frame regression and angle parameter regression; a frequency domain channel attention mechanism is introduced into an angle regression branch through an angle prediction head module in a detection head, so that the angle of a rotating target is predicted more accurately; and carrying out joint training by utilizing ProbIoU loss and distributed focus loss to realize end-to-end high-precision rotating target detection. According to the method, relatively high detection precision and reasoning speed are realized on a plurality of public remote sensing image data sets, and the method has efficient performance.

The invention provides a small sample image classification method based on self-supervised task aided training, and the method comprises the steps: carrying out the geometric rotation transformation of a support set image in a training stage, generating an extension set, and assisting a conventional scene training task through constructing an instance-level image rotation angle judgment task and a set-level classification consistency task. The measurement network model comprises a feature extraction module and a measurement module, and a three-branch loss optimization path is constructed: a top-layer branch executes traditional scene training to minimize classification loss; the intermediate branch constructs an instance-level proxy task by predicting an image rotation angle; and the bottom layer branch performs classification prediction on different extension sets to construct set-level classification consistency loss. Through joint optimization of a multi-branch loss function, model learning is guided to be independent of feature representation of category labels, and the generalization ability of the model is improved. According to the method, the deep structure features of the image can be effectively captured, and the classification precision and the model generalization ability are synchronously improved in a data scarce scene.

The present invention relates to the technical field of computer vision and deep learning algorithm optimization, specifically to an image processing method and system based on a fusion growth point optimization algorithm and a Unet network, comprising the following steps: collecting lumbar CT images, extracting the grayscale value and HU value of each pixel in the image, marking the lumbar vertebrae region to obtain density information of the lumbar vertebrae region, analyzing the lumbar vertebrae gradient and segmenting the initial region, obtaining basic region information points therefrom and classifying them, and generating preliminary structural features of the lumbar vertebrae. The present invention, by collecting lumbar CT images and extracting the grayscale value and HU value of pixels, obtains density information of the lumbar vertebrae region and performs preliminary segmentation, can accurately analyze the gradient changes in the region, and provides a reliable basis for the preliminary image region. In this process, by dynamically adjusting the image rotation angle and analyzing the difference in the boundary normal angle, the deviation of the lumbar vertebrae morphology is successfully corrected, thereby ensuring the consistency of the morphology in the subsequent processing process.

The embodiment of the present application provides a method, device, storage medium and program product for executing a rotation operator, which relates to the field of artificial intelligence technology. The method includes: dividing the image to be processed in the video memory into multiple original pixel blocks, each original pixel block includes multiple pixel points, and then loading the entire original pixel block into the on-chip cache, which increases the granularity of data transmission between the on-chip and off-chip, reduces the frequency of accessing the video memory, and thus reduces the memory access pressure. The pixel points in the original pixel block are read from the on-chip cache to perform the rotation operation, and the pixel points are written out to the on-chip cache according to the target coordinates after rotation. When the rotation operation is completed for the entire original pixel block, the target pixel block obtained by rotation is written out from the on-chip cache to the video memory. In other words, the present application uses the on-chip cache to buffer the data and uses the on-chip high bandwidth to perform the image rotation operation, thereby improving the performance of the image rotation operator.

An embodiment provides an electronic device comprising: a projector; a light guide device that guides light emitted from the projector; and an image rotation element provided between the projector and the light guide device, in which the image rotation element rotates light emitted from the projector about a longitudinal direction of the image rotation element. An embodiment provides a projection apparatus including: a light source unit disposed in a housing; a light modulator disposed at one surface of the housing; a lens unit disposed at a rear end of the light source unit; a reflection unit disposed between the light source unit and the light modulator; a projection lens unit; and a prism provided between the light modulator and the projection lens unit, in which the light source unit, the lens unit, and the reflection unit are sequentially provided and arranged to be inclined with respect to the light modulator or a top surface of the housing.

Provided is a display device comprising a main body where a display for image output is located, and a swivel stand, positioned on the rear surface of the main body, the angle and direction of which against the rear surface of the main body can be varied, wherein the swivel stand comprises: a bar-shaped leg stand inserted into a recessed stand seating part on the rear surface of the main body; a stand hinge, coupled to a first end part of the leg stand, for changing the angle between the rear surface of the main body and leg stand; and a swivel unit which is rotatably coupled to the rear surface of the main body and to which the stand hinge is attached. The swivel unit switches the leg stand between a first state of the leg stand being parallel to the long side of the main body, and a second state of the leg stand being parallel to the short side of the main body.

In a portable information terminal to which an image projection function can be added, there is provided a technique for improving visibility of a projected image. The portable information terminal has a terminal body and an attachment attached to the terminal body and communicatively connected to the terminal body. The attachment has a projector for projecting an image based on image information obtained from the terminal body, and is configured such that a projection opening direction of the projector is variable with respect to the terminal body. The terminal body or the attachment identifies a state of the portable information terminal including a position of the attachment with respect to the terminal body. The terminal body or the attachment performs a projection control of the image based on the identified state. The projection control includes, for example, an image rotation control, an image shape control, or a projection angle control.

A spin-estimation system may include an image-capturing sensor positioned and configured to capture images of an object within a field of view of the image-capturing sensor. The spin-estimation system may be configured to perform one or more operations to analyze spin properties of the object. The operations may include setting an image capture framerate that corresponds to a minimum spin motion of the object, printing an orientation marker on an outer surface of the object, and capturing, by the image-capturing sensor at the set image capture framerate, images of the object after starting motion of the object. The operations may include isolating the object in each image to generate isolated object images. The operations may include generating an object marker segmentation map based on the isolated object images. A spin rate and a spin axis may be estimated based on the object marker segmentation map using deep learning approaches.

The invention relates to the field of infrared thermal imaging, in particular to a miniaturized medium-wave infrared curved surface bionic compound eye optical system which comprises a curved surface multi-aperture array, an optical relay image rotation unit and an infrared detection unit. The curved surface multi-aperture array is of a compound eye structure formed by a plurality of sub-eyes with the same parameters. And the number of the lenses contained in each sub-eye is not more than 3. The optical relay image rotation unit converts a focal curved surface image of the curved surface multi-aperture array into a focal plane image, and the focal plane image is collected to the infrared detection unit. The number of lenses contained in the optical relay image rotation unit is not more than 6, and the optical relay image rotation unit has an object curved surface with the same curvature radius as the curved surface multi-aperture array and is matched with a diaphragm of the infrared detection unit. The system has the advantages of multiple compound eye apertures, light weight, miniaturization, large relative aperture, large target surface size, large field of view, high spatial resolution, cold diaphragm matching and the like, can perform operations such as quick capture, positioning and distance measurement on a moving target, and is particularly suitable for application scenes such as high-altitude over-the-ground wide-area detection, quick moving target positioning and tracking and the like.

The invention belongs to the field of natural resource monitoring, and discloses a spherical camera image set parameter resolving method, a medium and electronic equipment, and the method comprises the steps: collecting images, and extracting feature points in each image; selecting two images with the maximum overlapping area as an initial pair for processing; gradually introducing new images, and calculating a rotation parameter of each newly introduced image relative to the processed image by using a matching relationship of homonymy points; after the image rotation parameters are solved, selecting a plurality of control points, performing global constraint on the whole image set by using the control points, and performing corresponding matching on known positions of the control points and feature points in the image; and calculating final positions and angle parameters of all the images through a least square method. According to the invention, the field workload of the control point can be obviously reduced, the image positioning precision of the spherical camera is improved, and the spherical camera can be compatible with mainstream spherical camera equipment in the market.

The application relates to the technical field of SAR data processing and target detection, and discloses a SAR image speckle perception rotating target detection method based on physical priori, which comprises the following steps: firstly, collecting multi-source SAR image data and carrying out pretreatment, and preliminarily separating targets and background noise through low-rank sparse decomposition; combining the equivalent noise layer and contrast of the SAR image and other physical priori, constructing a conditional diffusion model, modeling the rotating frame prediction as a conditional diffusion denoising process, and guiding the step-by-step optimization of the frame parameters by using the physical priori; introducing a Gauss-Wasserstein distance as a regression loss, combining a shape consistency constraint, and effectively relieving the angle period discontinuity and deformation problem; finally, further optimizing the detection result through a geometric consistency constraint, and outputting a high-precision rotating target detection image after post-processing enhancement. The method significantly improves the precision, robustness and physical consistency of the SAR image rotating target detection in a complex scene.

The application discloses a kind of coronal mass ejection detection methods based on low rank restoration model, comprising the following steps: step 1, to the LASCO C2 image downloaded from SOHO homepage is carried out image preprocessing, to coronal image is denoised, screening processing;Step 2, the LASCO C2 image obtained after step 1 is carried out image gray, image rotation and flip operation;Step 3, the coronal image after processing in step 2 is converted to polar coordinates and is represented;Step 4, the moving target in coronal image is extracted using the method based on low rank restoration model;Step 5: fine-tuning low rank restoration model parameters, coronal mass ejection is distinguished from coronal stream, using image three frame difference is carried out moving target extraction, finally obtains coronal mass ejection.The method detection speed is fast, and precision is greatly improved.

The invention relates to the technical field of image processing, in particular to an image arbitrary-angle rotation method and device based on Z-shaped segmentation efficient caching, and the method comprises the steps: partitioning a target image and an original image, reversely rotating four coordinate points of the segmented blocks of the target image to the original image, firstly judging whether the current target block is a filling block or a scanning block, and then, carrying out the segmentation of the target image; scanning the scanning blocks pixel by pixel, and directly filling the filling blocks. According to the method, the characteristics of burst transmission and advanced transmission adopted by the AXI bus are efficiently utilized, the utilization rate of bus transmission is greatly improved, the transmission time of bus data is shortened, and the overall performance of image rotation processing is improved; when the target image is partitioned, a Z-shaped segmentation mode is adopted, the correlation of reading the pixels of the original image blocks during color calculation of the target image is increased, the original image pixel blocks are cached in a cache mode, the number of times of reading the original image pixel blocks is reduced, the reading time of a bus is shortened, and the reading efficiency of the original image is improved. And the overall performance of image rotation processing is improved.

The utility model is suitable for the technical field of detection devices, and provides a sensor, which comprises a base, a control module and a detection device are arranged in the base, and the detection device is in communication connection with the control module; the rotating piece is rotatably connected to the base; the rotary encoder is arranged on the base, the rotary encoder is in communication connection with the control module, and a rotating part of the rotary encoder is connected with the rotating piece; the display assembly is arranged on the base and is in communication connection with the control module; the control module is used for controlling the angle of the image displayed by the display component according to the position signal; according to the sensor provided by the embodiment of the invention, the rotating part and the rotary encoder are arranged, so that the position information of the rotating part is acquired through the rotary encoder, and the position information is converted into the position signal to be sent to the control module; and a control module is arranged, the orientation of the image displayed on the display assembly is controlled through the control module, and after the control module receives the position signal sent by the rotating piece, the control module controls the image displayed on the display assembly to rotate.

A visual inspection system includes a processor, a rotation stage, an adaptor, a light source, a telecentric lens and an image sensor. The adaptor is connected to the rotation stage and located under the rotation stage for positioning the lyophilized bead. The light source is located at a lateral side of the lyophilized bead for emitting lights to illuminate the lyophilized bead. The telecentric lens is located at the lateral side of the lyophilized bead for imaging the lyophilized bead. The image sensor is located at a lateral side of the telecentric lens opposite to the lyophilized bead for capturing images of the lyophilized bead. The rotation stage drives the lyophilized bead to rotate 360 degrees as performing an inspection of the lyophilized bead, and the image sensor continuously captures images of the lyophilized bead at different angles, thereby obtaining a three-dimensional image of the lyophilized bead for the inspection.

The invention discloses an image rotation processing chip, a method thereof, equipment and a medium. The image rotation processing chip comprises a memory unit; the decoder compresses the initial image through a built-in compression module and writes an obtained original compressed code stream into the memory unit; the code stream rotation unit reads the original compressed code stream from the memory unit, performs image rotation processing on the original compressed code stream, and writes the obtained rotation compressed code stream into the memory unit; and the display unit reads and decompresses the rotary compressed code stream from the memory unit through a built-in decompression module. The code stream rotation unit can read the original compressed code stream from the memory unit and perform image rotation processing on the original compressed code stream to obtain the rotation compressed code stream, so that the code stream rotation unit in the image rotation processing chip does not need to be internally provided with a compression module and a decompression module, and the cost of the image rotation processing chip can be reduced.

The present invention relates to the technical field of biometric feature processing and identification methods, and discloses a lightweight finger vein image recognition method for identifying the characteristics of specific finger veins, comprising the following steps: S1, acquiring a user's finger vein image; S2, calculating the finger's offset angle relative to the horizontal midline using an edge detection method, fitting the image midline to the horizontal midline through image rotation, and obtaining the required horizontal finger vein grayscale image by region-of-interest (ROI); S3, performing image enhancement by dividing the grayscale image into a certain number of grayscale squares of equal size and calculating the grayscale value histogram within the squares for equalization; S4, performing bilinear interpolation on the enhanced grayscale image under lightweight optimization, and then performing adaptive local threshold binarization to obtain a filtered finger vein image in the grayscale image. The present invention improves the security and efficiency of identity authentication and reduces the memory required, processor performance requirements, and production costs of the program in actual use.

The invention discloses an optical detection device. An image rotation compensation assembly is arranged in a light path between a pitching deflection lens group and a detection unit; the image rotation compensation assembly comprises a first wedge-shaped mirror and a second wedge-shaped mirror which rotate in opposite phases and have the same speed value; the two wedge-shaped mirrors meet the following parameter relational expressions: when a 180-degree rotation compensation interval is adopted, the angular velocity and the wedge-shaped angle alpha are met; when a 90-degree rotation compensation interval is adopted, the angular velocity and the wedge angle alpha meet the following conditions; in the formula, omega is the rotation angular velocity of the wedge-shaped lens, omega is the angular velocity of the rotating platform, and gamma is the image motion angle caused by the rotating platform within the exposure time t2 of the imaging camera. According to the device, the relationship between the angular velocity of the wedge-shaped mirror and the angular velocity of the rotating platform and the relationship between the maximum compensation angle and the wedge-shaped angle are redefined, so that high-speed compensation becomes possible.

The invention provides a remote sensing image rotating target detection method and system based on a joint attention mechanism, and the method comprises the steps: carrying out the feature extraction through employing a convolutional neural network based on obtained remote sensing image data, and obtaining a multi-scale feature map; performing semantic space coupling processing on the multi-scale feature map through a joint attention mechanism to obtain a target orientation feature descriptor, and performing feature refinement on the multi-scale feature map to obtain a refined feature map; a rotation candidate frame is generated according to the refined feature map, adaptive sample screening and rotation alignment processing are performed on the rotation candidate frame, an isovariant geometric convolution detection head is utilized to predict features after rotation alignment, and category information of the target and rotation bounding box parameters are output; according to the method, by combining an attention mechanism, isovariant geometric convolution and adaptive sample screening, the direction and geometric features of the target in the remote sensing image can be captured, the real-time reasoning efficiency is considered, and reliable technical support is provided for key tasks such as maritime affair supervision.

The invention is suitable for the technical field of image recognition, and provides a method and device for recognizing unsealing of a chip, and the method comprises the steps: collecting a current real-time image, rotating the current real-time image to a preset direction, and obtaining a current chip image; obtaining a region of interest in the standard template image; wherein the region of interest comprises a bare chip region, a wire bonding region and / or a pin region; extracting a to-be-identified region corresponding to the region of interest in the current chip image; and controlling a chip unsealing process according to the region similarity between the region of interest and the region to be identified corresponding to the region of interest. According to the scheme, high efficiency, accuracy and automation in the chip unsealing process are achieved, and the unsealing efficiency and the recognition accuracy are remarkably improved.

Embodiments of the present disclosure provide a method including capturing an image having an alignment mark, rotating the captured image by a first amount to produce a rotated image to determine a center point of the alignment mark and establishing a positional relationship between the rotated image and the captured image. The method further includes separating the alignment mark into a first alignment mark portion and a second alignment mark portion, rotating the first alignment mark portion by the first amount, establishing a positional relationship between the rotated first segment and the first alignment mark portion to determine a center point of the first alignment mark portion, rotating the second alignment mark portion by the first amount, establishing a positional relationship between the rotated second segment and the second alignment mark portion to determine a center point of the second alignment mark portion, and computing an overlay error.

The invention discloses a vision-based plant canopy coverage rate calculation method, system and device. The method comprises the following steps: acquiring an initial top surface plant image, an initial side surface plant image and a rotary side surface plant image through a top surface image acquisition device and a side surface image acquisition device; through plant leaf extraction, an initial side leaf image, a rotary side leaf image and a top leaf image are obtained; through skeleton line extraction, obtaining an initial skeleton line image and a rotating skeleton line image, and further obtaining plant stalk coordinates in the initial top surface plant image; acquiring an included angle with a plane where the side image acquisition device is located through the leaf vertex coordinate set and the plant stalk coordinate; and rotating the to-be-detected plant through the included angle, carrying out image acquisition to obtain a top surface plant image set, and carrying out projection and area analysis to obtain the plant canopy coverage rate. According to the invention, images of the side surfaces and the top surfaces of the plants are collected and analyzed, and the calculation accuracy and the calculation efficiency are improved.

The embodiment of the invention provides an adjustment method, device and system of a head-up display system, a computer readable storage medium and electronic equipment, and relates to the technical field of vehicle display, and the method comprises the steps: obtaining a to-be-processed image, determining the position deviation information based on the to-be-processed image, and determining the image rotation angle of the to-be-processed image; determining an adjustment parameter of an adjustment unit according to the position deviation information under the condition that the position deviation information and the picture rotation angle are combined to determine that the to-be-processed image is not in a qualified range; and adjusting an adjusting unit according to the adjusting parameters so as to adjust the head-up display system of the vehicle. According to the embodiment of the invention, the head-up display system can be accurately adjusted.