703 results about "Image evaluation" patented technology

A method for recognizing and determining the position of at least one teat of a milking animal, including the steps: moving a scanning head including a light source to a region containing the teat or teats, capturing at least one image formed by said light, evaluating the image or images so as to determine if each image describes said teat or teats. The scanning head (1) is moved to a fixed initial position (A) in the room which is under the animal and clearly in front of an udder and thereby the teats of all known relevant animals, thereafter the scanning head is moved in determined steps (A-J) under the animal: upwards towards the animal, downwards, backwards towards the udder, upwards, downwards etc., while carrying out the scanning procedure. The invention also concerns an apparatus carrying out the process and a milking robot including such an apparatus.

Image data sets are filed efficiently in an image storing server. An image generation apparatus reads images from a film, and image data sets representing the images are sent to and registered with the image storing server. The image data sets are stored in a folder generated for each user. The user accesses the image storing server from a communication terminal and carries out filing on the image data sets in the folder, such as sorting according to the date and time of photography. In this manner, the image data sets can be stored in the image storing server in a well-organized manner.

A motion capture apparatus includes: generating means; predicting means; projecting means; evaluating means; and estimating means. The generating means generates a kinematics model having joints connected to one another. The predicting means hierarchically calculates predicted positions at a current time of the joints of the objective person, and predicts three-dimensional positions and postures of the joints and the limbs. The projecting means projects the three-dimensional positions and postures of the joints and the limbs of the objective person on a two-dimensional image plane, the three-dimensional positions and the postures being predicted by predicting means. The evaluating means evaluates reliability about projection positions projected by the projecting means based on the observation image of the objective person. The estimating means estimates the three-dimensional positions and postures of the joints and the limbs of the objective person at the current time based on an evaluation result about the reliability.

In a method and digital camera, an initial pair of evaluation images are captured. A plurality of characteristics of the initial pair of evaluation images are assessed to provide a first assessment. The characteristics include subject motion between the initial pair of evaluation images. When the subject motion is in excess of a predetermined threshold, a final capture state of the camera is set responsive to the first assessment. When the subject motion is less than the predetermined threshold, the evaluation images are analyzed to provide analysis results and the final capture state of the camera is set responsive to the first assessment and the analysis results.

A magnetic resonance imaging (MRI) apparatus (10) acquires a plurality of parametric images (60) with at least one varying imaging parameter. A parametric map (62) is constructed from the plurality of parametric images (60). At least one pilot parameter (64) is identified from at least the parametric map (62). The at least one identified pilot parameter (64) includes at least a volume of interest for a diagnostic image. A contrast agent (54) is administered to the patient (18). The identified volume of interest is imaged during influx of the administered contrast agent (54) into the identified volume of interest. The imaging uses the at least one identified pilot parameter (64).

A method for determining relevant objects in a vehicle moving on a roadway An assistance function is executed in relation to a position of a relevant object, and the relevant objects are determined on the basis of an image evaluation of images of a surrounding area of the vehicle. The images are detected by way of camera sensors. By way of a radar sensor positions of stationary objects in the surrounding area of the vehicle are determined. A profile of a roadway edge is determined using the positions of the stationary objects and that the image evaluation is carried out in relation to the roadway edge profile determined. A driver assistance system suitable for carrying out the method is also described.

An image focus assessment method is provided that works reliably for images of a variety of relatively dissimilar workpieces or workpiece features. The focus assessment method is based on analysis of a single image (without the benefit of comparison to other images). The robustness of the focus assessment method is enhanced by the use of at least one classifier based on a plurality of focus classification features. In one application, a primary advantage of assessing focus from a single image is that an overall workpiece inspection time may be reduced by avoiding running an autofocus routine if an image is already in focus. In various embodiments, the focus assessment method may include an ensemble of classifiers. The ensemble of classifiers can be trained on different training data (sub)sets or different parameter (sub)sets, and their classification outcomes combined by a voting operation or the like, in order to enhance the overall accuracy and robustness of the focus assessment method.

A three-dimensional image evaluation unit (100) for evaluating an input image. The parallax statistic is calculated by measuring the parallax included in the input image by a parallax measuring means (3), the static parallax evaluation value for the calculated parallax statistic and / or a dynamic parallax evaluation value for a temporal change in the parallax statistic is determined by a static parallax evaluating means (4-1) and / or a dynamic parallax evaluating means (4-2) of an evaluating means (4) to evaluate parallax information on the image. An abrupt change in the parallax can be evaluated thereby, and countermeasures against errors in measurement and noise of the image can be taken, so that parallax information on the image can be suitably evaluated.

A spectral characteristic obtaining apparatus including a light irradiation unit configured to emit light onto a reading object; a spectroscopic unit configured to separate at least a part of diffused reflected light from the light emitted onto the reading object by the light irradiation unit into a spectrum; and a light receiving unit configured to receive the diffused reflected light separated into the spectrum by the spectroscopic unit and to obtain a spectral characteristic. In at least one example embodiment, the light receiving unit is configured to be a spectroscopic sensor array including plural spectroscopic sensors arranged in a direction, and the spectroscopic sensors include a predetermined number of pixels arranged in the direction to receive lights with different spectral characteristics from each other.

An image processing apparatus includes an image evaluation unit evaluating properness of synthesized images as the 3-dimensional images. The image evaluation unit performs the process of evaluating the properness through analysis of a block correspondence difference vector calculated by subtracting a global motion vector indicating movement of an entire image from a block motion vector which is a motion vector of a block unit of the synthesized images, compares a predetermined threshold value to one of a block area of a block having the block correspondence difference vector and a movement amount additional value, and performs a process of determining that the synthesized images are not proper as the 3-dimensional images, when the block area is equal to or greater than a predetermined area threshold value or when the movement amount addition value is equal to or greater than a predetermined movement amount threshold value.

An electronic device, such as a digital camera, includes sensors to acquire subject data, such as an electro-optical image, as well as additional sensors to acquire meta-data such as temperature, humidity, the identification of the subject data, and the data and time. The electronic device further includes an image evaluator, to determine the best steganographic method to use to combine the meta-data and the subject data, and a steganographic engine, to combine the meta-data and the subject data in an undetectable manner. In this way, meta-data can be associated with the subject data when the subject data is acquired and in a manner that attaches the meta-data and the subject data without requiring generating and maintaining two, linked data sets.

A face identification apparatus for identifying a face is designed to have a face region expectation measure for expecting his / her face region within the image; a pupil-candidate-point detection measure for converting the face region to an image of a standard size, making it a standard image, and detecting his / her right / left pupil candidate points out of a search region within the standard image; a reference data generation measure for generating a normalization image from the standard image with making it a standard a distance of the right / left pupil candidate points and making reference data for evaluating advisability of the face region from the normalization image; and a face region evaluation measure for obtaining a degree of approximation between the reference data and standard data prepared in advance and evaluating the advisability of the face region.

The invention relates to a dynamic object modulation transfer function measuring method and a device thereof, pertaining to the optical property measurement field. The invention aims at providing a dynamic object modulation transfer function measuring method and a device thereof which can carry out the dynamic object modulation transfer function measurement under different fields of view, namely, uniform linear motion, uniformly-accelerated rectilinear motion, simple harmonic motion, but also can measure static target modulation transfer function and separate the static target modulation transfer function from whole machine modulation transfer function. The device consists of a light source, a collimating lens, a pupil coupling system and an electro-optical imaging system which are arranged along the ray propagation direction in sequence; the electro-optical imaging system carries out imaging towards the light source moving along the guide rail direction and line spread function is obtained from the image and carried out one-dimensional Fourier transformation so as to obtain the dynamic object modulation transfer function. The method and the device of the invention are not only suitable for static image evaluation field but also for the image evaluation field of dynamic object imaging by a time-delay electro-optical imaging system.

A motion capture apparatus includes: generating means; predicting means; projecting means; evaluating means; and estimating means. The generating means generates a kinematics model having joints connected to one another. The predicting means hierarchically calculates predicted positions at a current time of the joints of the objective person, and predicts three-dimensional positions and postures of the joints and the limbs. The projecting means projects the three-dimensional positions and postures of the joints and the limbs of the objective person on a two-dimensional image plane, the three-dimensional positions and the postures being predicted by predicting means. The evaluating means evaluates reliability about projection positions projected by the projecting means based on the observation image of the objective person. The estimating means estimates the three-dimensional positions and postures of the joints and the limbs of the objective person at the current time based on an evaluation result about the reliability.

To support a driver in guiding a road vehicle, the lane markings of the road, traffic signs and / or vehicle license plates are detected by an environment sensor system, which produces corresponding image data, which is evaluated by an image evaluation system by comparison to stored country-specific data. From that evaluation, at least one country estimation signal is generated in an image processor, and then a country signal indicating the current location of the vehicle is generated from the at least one country estimation signal by a microprocessor. The country signal correspondingly activates a driver information device outputting country-specific information for guidance of the vehicle and / or the country signal is fed to a driver assistance system that supports the guidance of the vehicle.

A method of facilitating a money transfer to a region for which compliance with a requirement requires execution of a document. The method includes receiving transaction information at a host computer system from a transaction processing device at a transaction origination location. The transaction information relates to a money transfer to the region. The method also includes storing at least a portion of the transaction information as a money transfer record. The record includes a field whose value indicates the status of compliance with the requirement. The method also includes receiving an image of at least a portion of the document, evaluating the document to determine whether the document evidences compliance with the requirement, setting the value of the field to indicate compliance with the requirement, and completing the money transfer, upon request or a recipient, if the value of the field indicates compliance with the requirement.

Methods for performing macrophage-enhanced MRI, utilizing a macrophage imaging agent, in a single imaging session are provided. The macrophage imaging agent may be an ultrasmall superparamagnetic iron oxide particle. One embodiment includes administering a macrophage imaging agent to the subject during an administration session then allowing a passage of time sufficient for accumulation of the agent in macrophages of the subject. Subsequently, in a single imaging session, a macrophage-enhanced magnetic resonance image is acquired to target macrophages and a different magnetic resonance image is acquired to target physiological phenomenon other than macrophages. Additional embodiments provide methods wherein the acquisition of a different magnetic resonance image is achieved by vascular-enhanced MRI protocols or perfusion-enhanced MRI protocols, or combinations thereof. Further embodiments provide methods for utilizing acquired images in assessment of treatment of disease.

The invention provides a multi-attribute image aesthetics evaluation system based on attention mechanism. Using machine learning methods, A composite neural network model is trained by using large-scale photograph dataset and corresponding comment information, this model can extract the multi-attribute aesthetic features of image effectively by convolution operation, the image features are extracted from the multi-attribute feature extraction network of the model, Features are further processed in the channel and spatial attention network, and finally the final comments are generated in the language generation network through the long-short memory network unit. The model can automatically output comments of different attributes according to the image characteristics. When an image is inputted, the generated model considers the characteristics of the image from different attributes and evaluates the aesthetic quality of the image in natural language. The method is easily realized by software, and the invention can be widely applied to computer vision, image evaluation and the like.

A method of determining a distance to be walked by a delivery vehicle driver including providing a satellite image that has an image of a building to which an item is to be delivered and an image of a street adjacent to the building. The method further includes defining a path, within the image, that corresponds to a path that the delivery vehicle driver will walk when delivering the item to the building. The method also includes the step of determining a length of the path.

There is provided an information processing apparatus, including a storage part storing, user by user, history information, an evaluation processing part deriving, user by user, an evaluation index value corresponding to an evaluation theme requested in a display request transmitted from a display apparatus, by performing a process according to the evaluation theme for each piece of history information of at least two users who are requested to be displayed in the display request, a relative processing part deriving user by user a relative evaluation parameter showing relationship between the users in the evaluation theme based on the evaluation index value, and a display data generation part generating display data which shows an evaluation image of each user showing the relationship between the users in the evaluation theme, by generating user by user the evaluation image based on the relative evaluation parameter.

The invention discloses a robust mechanism research method of characteristic significance in image quality evaluation. The robust mechanism research method comprises the following steps: firstly, determining a target function of characteristic selection in the image quality evaluation, and initializing a model parameter; secondly, adding an optimal characteristic into a characteristic matrix, and removing a characteristic disturbance term; thirdly, calculating the significance of the characteristic selection in an image quality evaluation system; fourthly, judging whether the significance meets a system robust requirement or achieves an upper limit of a characteristic number; and finally, verifying a model classification effect. The characteristic significance is measured through an imported system characteristic signal to noise ratio, a constrained optimization problem of a smooth convex function in the image quality evaluation system is solved, interference on a classification face by non-significant characteristics is effectively lowered, the robustness of the image evaluation system is improved, and the self-adaptive optimization problem of characteristic attribute selection on the basis of an image quality evaluation network of a learning mechanism is solved.

In a method for image generation and image evaluation in the medical field, raw data are generated by a selected medical modality, in particular a computed tomography scanner, depending on given modality parameters, and image data are generated from the raw data using an image reconstruction depending on given reconstruction parameters. The image data are evaluated by a given analysis application. Before acquiring the raw data, a secondary application automatically proposes a set of parameter values for the modality parameters and / or for the reconstruction parameters coordinated to the given analysis application and / or given patient information.

An image focus assessment method is provided that works reliably for images of a variety of relatively dissimilar workpieces or workpiece features. The focus assessment method is based on analysis of a single image (without the benefit of comparison to other images). The robustness of the focus assessment method is enhanced by the use of at least one classifier based on a plurality of focus classification features. In one application, a primary advantage of assessing focus from a single image is that an overall workpiece inspection time may be reduced by avoiding running an autofocus routine if an image is already in focus. In various embodiments, the focus assessment method may include an ensemble of classifiers. The ensemble of classifiers can be trained on different training data (sub)sets or different parameter (sub)sets, and their classification outcomes combined by a voting operation or the like, in order to enhance the overall accuracy and robustness of the focus assessment method.

A method and an apparatus for identifying motor vehicles for monitoring traffic. The identification is carried out by image-evaluation and includes determining the size ratios of a license-plate contour in a perspectively distorted image on the basis of stored standardized license-plate formats, determining the size of the perspective distortion of the license-plate contour on the basis of the associated standardized license-plate format, establishing a calculation rule for the perspective rectification on the basis of the ascertained distortion of the license-plate contour with respect to the associated license-plate format, rectifying the extracted license-plate-containing motor-vehicle view, and comparing the rectified image with reference images of front views of motor vehicles stored in a database in order to assign the image with greatest correspondence to a group of classified motor vehicles.

A method is described to obtain a binary image from the print-and-scan process to best match the known original. A point-spread function (PSF) of the PAS process is first obtained from its knife-edge responses, and deblurring is carried out on the scanned images using deconvolution. After image deskewing and preliminary registration, a supervised adaptive thresholding procedure is utilized to binarize the scanned image such that a measure of difference (e.g. the Euclidean distance) between the original and binarized images is minimized. The supervised adaptive thresholding procedure divides the scanned images into many rectangular sub-images. Otsu's method is used to find a starting threshold for each scanned sub-image. An optimal threshold is found around the Otsu's threshold via iterative search to minimize the measure of difference between the original sub-image and scanned sub-image. The sub-images are binarized using the optimal threshold. This method may be used in document authentication.

The present invention provides a method for evaluating lossy compression quality of image. The method comprises the following steps: selecting related image as testing image as testing image according to a set image selecting principle; executing data compression to the tested image with an image compression method to be evaluated thereby obtaining compression image; decoding for obtaining reconstructed image; analyzing the tested image and reconstructed image through a plurality of image evaluation aspects thereby evaluating the adopted image compression method; wherein, the plurality of image evaluation aspects can execute full evaluation to the compressed image quality, and simultaneously the plurality of image evaluation aspects have no relativity. The method can execute full evaluation to the quality of compressed image, is suitable for the original image with different landform categories and texture abundance degrees, and can provide a reference for the improved design of spaceborne compression algorithm developed by our country.

An adhesive robot, comprising a device for applying adhesive to a workpiece. The adhesive robot has a nozzle head (18), which has an application nozzle (24) and can be supplied with a pressurized viscous adhesive, the nozzle head (18) and the workpiece (14) being displaceable in relation to one another. The adhesive which is issued from the application nozzle (24) in a spray jet (28) is applied to a workpiece (14) along a predefined line of application (36) in the form of a strip of adhesive (40). To facilitate the adjustment and re-calibration process, the system comprises at least one camera unit (42), which is located on the nozzle head (18) and whose leans is directed towards the spray jet (28) or the adhesive strip (40). The output of said camera unit is connected to an image evaluation unit (45). The image data (40) recorded by the camera unit (42) is buffered and compared with predetermined image values (40). The decisive control parameters for the system can be calibrated and tracked either automatically or by remote control, on the basis of deviations in the image data that have been determined along the line of application (36).

An apparatus and method of quantitatively obtaining a measurement of pollen of a plant. One method of counting comprises imaging the sample with the pollen well-distributed in the focal plane of the imager. Image evaluation software can identify and count objects in the image that are consistent with pollen. Total pollen count for the plant can be derived from the count of pollen of the sample, proportionality of the sample volume to the starting volume, and proportionality of area of sample imaged to total area of sample. Pollen quantification can be used for research or commercial production decisions relative to the plant or its seed.

An image evaluation device includes a storage unit that stores sample image data that represent a virtual sample image simulating a sample image included in a sample printout that is recognized as a non-defective printout; a reading unit that reads an inspection object image included in an inspection object printout obtained by printing the sample image on a recording medium by a printing device using image data representing the sample image; an extraction unit that extracts a line defect including a linear pattern formed in a specific direction from the inspection object image represented by inspection object image data, based on a difference value between the sample image data and the inspection object image data; and an evaluation unit that evaluates a visibility of the line defect extracted by the extraction unit.

The invention relates to an image evaluation algorithm based on microblog sentiment analysis. The algorithm includes the following steps that microblog client information is collected; secondly, relative microblog keyword database is constructed; thirdly, a microblog sentiment score is calculated, and microblog comment sentiment tendency types are judged; fourthly, microblog comment types are divided and related and matched with enterprise service events; fifthly, an image core is calculated. Microblog comments, related to a power grid, of users serve as research objects, the method combining the text mining technology and sentiment analysis is adopted, the enterprise image scorning algorithm based on microblog sentiment analysis is built, and a strong technical means is provided for power supply enterprises to judge images and take pertinent measures.