577 results about "Image calibration" patented technology

A system and method for intra-operatively providing a surgeon with visual evaluations of possible surgical outcomes ahead of time, and generating simulated data, includes a medical imaging camera, a registration device for registering data to a physical space, and to the medical imaging camera, and a fusion mechanism for fusing the data and the images to generate simulated data. The simulated data (e.g., such as augmented X-ray images) is natural and easy for a surgeon to interpret. In an exemplary implementation, the system preferably includes a data processor which receives a three-dimensional surgical plan or three-dimensional plan of therapy delivery, one or a plurality of two-dimensional intra-operative images, a three-dimensional model of pre-operative data, registration data, and image calibration data. The data processor produces one or a plurality of simulated post-operative images, by integrating a projection of a three-dimensional model of pre-operative data onto one or a plurality of two-dimensional intra-operative images.

An automatic analyzing method for test strips includes steps of: providing a test strip unit at least having a reacting region and an image calibration region; capturing an image of the test strip unit; analyzing the image so as to obtain a first image signal of an image calibration region and a second image signal of a reacting region; comparing the first image signal with a standard signal so as to obtain image signal calibration parameters; calibrating the second image signal by applying the image signal calibration parameters so as to obtain a third image signal; and comparing the third image signal with data in a database so as to obtain a corresponding parameter values. The present invention also provides an automatic analyzing method for test strips.

A sensor array module with wide angle for creating a composite image includes a first image sensor, a second image sensor, a storage unit and a processor. The first image sensor is for capturing a first image. The second image sensor is for capturing a second image and has a relative spatial relationship with respective to the first image sensor. The storage unit stores at least one transformation matrix obtained according to the relative spatial relationship between the first and the second image sensors. The processor combines the first image and the second image by using the transformation matrix to create the composite image. The present invention also provides an image calibration method, an operation method and an application for a sensor array module with wide angle.

A system and apparatus for the color calibration of images recorded through a microscope. An integrated color calibration target microscope slide device and specimen are recorded with an imaging device that acquires both the color values of the specimen and the color values of the color calibration target under a plurality of illuminations and trans-illuminations. A composite image is formed to provide a spectral estimation of the relevant color values of the image. The image is converted into multi-stimulus values governed by a plurality of illuminating conditions. The multi-stimulus values are used to provide image calibration data so that color values of the image, when displayed on a display devices, are faithfully reproduced.

The invention provides a monitoring device and a monitoring method based on a visual image. The device comprises a focusing camera, an electric rotational station for controlling omni-directional rotation of the camera, and a monitoring processor for controlling the camera and the electric rotational station and receiving and processing data information fed back by the camera and the electric rotational station. The monitoring processor comprises a human-computer interaction module, a camera control module, a target detection module, an image calibration module and a video conversion module. The method for applying the device to monitor a specific target can be applied in two working modes: ifa target image in a panoramic monitoring video is not distinct,a monitoring system employs real-time monitoring, detection, tracking and automatic focusing to capturea high definition image of the target; and if a target image in the panoramic monitoring video is distinct, video recording and then analyzing are employed for monitoring, and video can be played backwards. Different working modes are employed according to different situations to guarantee that image and the video containingthe distinct features of the specific image target can be finally obtained.

Calibration and reference samples with reduced cross-sectional areas encased within imaging tables or couch pads have low attenuation properties and provide patient comfort. The samples are stable and provide reproducible images without artifacts. The torso-length samples avoid positioning errors and misalignment. Sample density or mass calibration materials include calcium compounds representative of bone and calcifications, iodine compounds for contrast angiography, gadolinium compounds for MRI, and fat and tissue equivalent materials. Density corrections for variable patient scatter and imperfect image reconstructions improve quantitative measurement. Automated computer methods detect the samples and record readings on all images over the extent of the scans without operator interaction. Spatial references function as location references and enable spatial correction of device imperfections such as point spread function (PSF) or motion for improved images. Comparative analysis of backward and forward projections corrects images based on simultaneous imaging of the references of known properties.

Exemplary image calibration systems and methods are described herein. An exemplary method includes an image calibration system receiving data representative of an input camera image, detecting a face of a person represented in the input camera image, determining a predefined skin tone template associated with the person, and modifying the input camera image to change an appearance of the face of the person based on the predefined skin tone template associated with the person. In certain embodiments, the modification changes one or more skin tones represented by an image of the face of the person in the camera image based on the predefined skin tone template. Corresponding methods and systems are also disclosed.

The invention discloses a method and a device for automatically reading a pointer instrument by video frequency. The method comprises the following steps of: obtaining an initial scale point and a stop scale point from an effective region of an input image calibration dial plate, and recording an initial position scale value and a stop position scale value; detecting all line segments within the effective region of the dial plate; setting rule parameters, selecting the detected line segments in a regularization way, and filtering out a meter needle; and reading the scale appointed by the meter needle by a corresponding algorithm according to the type of the dial plate, and obtaining the reading number. After the invention is adopted, a plurality of needle targets can be quickly and exactly detected, any pre-estimation treatments (such as colors, positions and the like of the needle dial plate) are not needed, and high in accuracy rate.

A method for generating image calibration data at an electronic device having multiple cameras includes capturing a first image of a first scene at a first time using a first camera at the electronic device. The method also includes capturing a second image of a second scene at the first time using a second camera at the electronic device. A portion of the first scene overlaps a portion of the second scene. The method further includes generating the image calibration data based on the first image and based on the second image.

The embodiment of the invention provides a depth image calibration method and system for a TOF camera system, and the method comprises the steps: obtaining a corresponding depth image according to anoriginal phase image collected by the time-of-flight TOF camera system; And respectively carrying out geometric correction, time domain noise reduction and spatial domain noise reduction processing, FPPN correction, Wiggling correction and temperature error compensation on the depth image to obtain a calibrated depth image. multi-aspect calibration is carried out on a depth image; geometric correction, time domain noise reduction and spatial domain noise reduction processing, FPPN correction, Wigning correction and temperature error compensation are carried out, errors introduced from multipleaspects are eliminated, a calibrated depth image is obtained, so that the measurement error is greatly reduced, the reliability of the finally obtained depth image is greatly enhanced, and the methodcan be further applied to various depth applications.

The invention relates to a system and a method for detecting an electronic element on a circuit board. The method comprises the steps of pre-building a standard image with a calibration point and a standard area, capturing an image of the circuit board to be detected, correcting the circuit board image according to the calibration point, finding a corresponding comparison area in the corrected circuit board image according to the standard area, performing designated image treatment and image comparison on the standard area and the comparison area according to the type of the electronic element, and correspondingly recording production sequence numbers of the standard area and the circuit board to generate a prompt message when the image processing results of the standard area and the comparison area are not matched. Therefore, the technical effect that the efficiency of detecting the electronic element on the circuit board is improved can be achieved.

The present invention provides an image calibration method and system. The method comprises a step of obtaining the coordinates of multiple calibration points of a user to be detected in a first coordinate system, wherein the first coordinate system is the coordinate system of the first image of the user to be detected, a step of obtaining the coordinates of corresponding calibration points in a real-time image to the user to be detected in a second coordinate system, wherein the second coordinate system is the coordinate system of the user to be detected, a step of obtaining the conversion relationship between the first coordinate system and the second coordinate system according to the coordinates of the multiple calibration points in the first coordinate system and the coordinates of the corresponding calibration points in the real-time image in the second coordinate system, a step of obtaining the initial point cloud and real-time point cloud of the user to be detected, a step of registrating the real-time point cloud and the initial point cloud and obtaining the conversion relationship between the third coordinate system and the first coordinate system, wherein the third coordinate system is the coordinate system of point cloud acquisition equipment, and a step of calibrating the first image. According to the method and the system, the detection of a user movement is realized, and the image error caused by the movement of the user is adjusted.

The invention discloses a bridge crack detection device and detection method. The automatic bridge crack detection device comprises a control device, an installation car, a telescopic rod mechanism and a detection device, wherein the control device comprises a data processing device, a display, a walking controller, a camera shutter frequency detection unit, a telescopic rod adjusting device, a telescopic rod adjusting controller, a first distance detection unit, a second distance detection unit, an illuminating brightness detection unit, a brightness adjusting module and an illuminating brightness controller. The detection method comprises the steps of (1) preparatory work before detection; (2) shooting and uploading of an image; (3) image capturing; (4) bridge crack image processing; (5) calibration object image calibration; and (6) calculating and synchronous outputting of bridge crack parameters. The bridge crack detection device is simple in structure, reasonable in design, and convenient to use and operate, accurate and quick detection of the size of bridge cracks can be achieved, and the work efficiency of bridge crack detection and the reliability of detection data are improved.

Provided is a weld three-dimensional reconstruction method based on two-dimensional linear structured light. The method includes following steps: (1) structured light image capturing and calibration of a weld: performing scanning along a target weld, shooting the target weld at intervals in a fixed time interval, then obtaining a two-dimensional structured light image of the target weld, performing image calibration on the structured light image, and obtaining the practical length and width of one pixel point in the structured light image; (2) structured light image processing of the weld: pre-processing the two-dimensional structured light image of the weld, then extracting a weld center line of the structured light image by employing a contour average method, and obtaining the practical coordinate of each pixel point of the weld center line; and (3) performing three-dimensional surface fitting by employing an interpolation method based on a B-spline through the practical coordinate obtained in step (2), of each weld center line to reconstruct a complete three-dimensional weld surface. According to the method, the reliability is high, the method is simple, and the detection and identification efficiency is high.

The invention discloses a centralized control type soccer robot identification system and an identification method for double visual information fusion and belongs to the technical field of machine vision. The centralized control type soccer robot identification system comprises a left visual sensor for shooting a left field target body, a right visual sensor for shooting a right field target body, two PCs (Personal Computers), an Ethernet interface line, a color code for representing the robot pose and the ID (Identification) information, and an image processing system. The centralized control type soccer robot identification system and the identification method have the beneficial effects that the two PCs are respectively connected with the left visual sensor and the right visual sensor; the left field target body and the left field target body are identified according to a color code identification algorithm after image acquisition, image calibration and feature extraction are carried out; the two PCs are used for information transmission, information judgment and information fusion through an Ethernet interface to obtain the information of all target bodies on the complete field; and the validity and the information loss situation of the identification information can be reasonably judged and treated, so that the identification precision and the real time of the system is improved, therefore, the system can be taken as a scientific research and innovative practice education platform.

The invention relates to a three-dimensional observation device for scouring terrain, belonging to the field of terrain measurement and comprising a full-plane laser projector, an image collection device, a terrain image calibration device, a host lifting device, a fixed support structure and a power supply system, wherein the full-plane laser projector comprises a slot-shaped line type laser die set, a die set micro-adjusting bracket, a baffle board, a cover board, a laser distance meter and a universal joint; the terrain image calibration device comprises a spot type laser die set and a fixed supporting board; the image collection device comprises a computer, a digital camera, a camera gravity positioning box and a universal joint; the respective horizontal angle of the full-plane laser projector and the digital camera is automatically adjusted through the universal joint under the self-weight action so that the full-plane laser is in parallel to a horizontal plane; the principal optical axis of the camera is perpendicular to the horizontal plane; and the host lifting device controls the lifting of the full-plane laser projector in a step pitch setting mode. The integral set of the system has higher observation efficiency and precision, and is suitable for the research on the aspect of terrain three-dimensional analysis in a river model test.

The invention relates to a stereo vision system calibration platform and a stereo vision system calibration method based on a solid circular calibration plate, and aims to solve the problems of excessive number of optimization variables and complicated calculation of the existing calibration methods. The stereo vision system calibration platform based on the solid circular calibration plate comprises the a parameter input module, an image preprocessing module, a system calibration module and a parameter output module, wherein the parameter input module is used for inputting number of pictures to be calibrated and circle center distance parameters of adjacent solid circles on the calibration plate; the image preprocessing module is used for preprocessing the pictures to be calibrated in the parameter input module; the system calibration module is used for performing left image calibration, right image calibration and stereo calibration on the pictures processed by the image preprocessing module; and the parameter output module is used for outputting calibration results of the pictures calibrated by the system calibration module. The stereo vision system calibration platform and the stereo vision system calibration method are used in the field of stereo vision measurement.

The present invention relates to calibration devices, the use thereof and methods for the in-line geometric and grey-value correction of data obtained from imaging

N devices such as x-ray radiography. The calibration devices according to the invention comprise a set of two or more interconnected calibration components and a means for mounting the set of calibration components on the body.

The invention provides a processing method and device for a pathological image of lymphatic metastasis of a breast cancer. The method comprises: S1, an example image is obtained and example image calibration information corresponding to the example image is obtained; S2, according to the example image and the example image calibration information, a training sample set is generated; S3, deep learning network training and parameter optimization are carried out based on the training sample set to obtain a convolutional neural network model; and S4, a testing image is tested by using the convolutional neural network model and a target area is detected. According to the processing method and device, automatic image classification is realized by using the deep learning technology; technical problems of poor consistency and low accuracy of the manual film reading and classification work are solved; the work efficiency is improved; and the probability of errors is reduced.

The invention discloses a road surface crack defect identification method based on combination of image processing and a convolutional neural network. The method comprises the following steps: step 1,data preparation: acquiring 2000 1024 * 512 road grayscale images; step 2, image calibration: classifying the collected road images, calibrating the images without cracks as 0 folder, and calibratingthe images with cracks as 1 folder; step 3, carrying out picture preprocessing on the calibrated picture, and the unified size being 1024*512; step 4, establishing a core convolutional neural networkalgorithm frame AsphaltCackNet; step 5, generating a principle of a feature extractor for feature mapping; step 6, dividing an image data set for training and testing; step 7, training the data set and calculating a cost function; step 8, a learning method of the neural network; step 9, randomly initializing and losing; step 10, performing parallel computing; step 11, obtaining a training result,and performing testing and evaluation. Under the condition that the width and the height of an original image are not changed, perfect pixel accuracy can be ensured.