1374 results about "Grey scale" patented technology

A test strip for the determination of an analyte, such as glucose, in a body fluid sample (for example, a whole blood sample) includes a substrate with a working surface for receiving the body fluid sample and a reverse surface that is in opposition to the working surface. The test strip also includes a permutative grey scale calibration pattern disposed on either of the working and reverse surfaces with the permutative grey scale calibration pattern including more than one grey scale region. Moreover, the scale regions of the test strip define a grey scale permutation that uniquely corresponds to a calibration code of the test strip.

A method and system for full-field fringe-projection for 3-D surface-geometry measurement, referred to as “triangular-pattern phase-shifting” is disclosed. A triangular grey-scale-level-coded fringe pattern is computer generated, projected along a first direction onto an object or scene surface and distorted according to the surface geometry. The 3-D coordinates of points on the surface are calculated by triangulation from distorted triangular fringe-pattern images acquired by a CCD camera along a second direction and a triangular-shape intensity-ratio distribution is obtained from calculation of the captured distorted triangular fringe-pattern images. Removal of the triangular shape of the intensity ratio over each pattern pitch generates a wrapped intensity-ratio distribution obtained by removing the discontinuity of the wrapped image with a modified unwrapping method. Intensity ratio-to-height conversion is used to reconstruct the 3-D surface coordinates of the object. Intensity-ratio error compensation involves estimating intensity-ratio error in a simulation of the measurement process with both real and ideal captured triangular-pattern images obtained from real and ideal gamma non-linearity functions. A look-up table relating the measure intensity-ratio to the corresponding intensity-ratio error is constructed and used for intensity-ratio error compensation. The inventive system is based on two-step phase-shifting but can be extended for multiple-step phase-shifting.

A method for determining a test strip calibration code for use in a meter includes inserting a test strip into the meter. The inserted test strip having a substrate with a working surface for receiving the body fluid sample and a reverse surface that is in opposition to the working surface. The test strip also includes a permutative grey scale calibration pattern disposed on either of the working and reverse surfaces, with the permutative grey scale calibration pattern including more than one grey scale region. Moreover, the scale regions of the test strip define a grey scale permutation that uniquely corresponds to a calibration code of the test strip. The method also includes detecting the permutative grey scale calibration pattern with a grey scale photodetector module of the meter and determining a calibration code that uniquely corresponds to a grey scale permutation defined by the permutative grey scale calibration pattern based on permutation matrix stored in the meter.

A digital image processing method includes extracting chromatic information of an image taken by an image taking device and related to a human subject; detecting visually interesting regions; and exposure correcting of the taken image by normalizing a grey scale of the taken image based on the visually interesting regions. Advantageously, the method includes recognizing areas corresponding to the skin of the subject, these areas being used as the visually interesting regions for the exposure correction step.

A method for determining a test strip calibration code for use in a meter includes inserting a calibration strip into the meter, with the calibration strip having a substrate and a permutative grey scale calibration pattern disposed on the substrate. In addition, the permutative grey scale calibration pattern includes more than one grey scale region that define a grey scale permutation uniquely corresponding to a calibration code of test strips in a package associated with the calibration strip. The method also includes: (i) detecting the permutative grey scale calibration pattern with a grey scale photodetector module of the meter, and (ii) determining a calibration code that uniquely corresponds to a grey scale permutation defined by the permutative grey scale calibration pattern based on a permutation matrix stored in the meter.

A multi-view distribution format is described for stereoscopic and autostereoscopic 3D displays. In general, it comprises multi-tile image compression with the inclusion of one or more depth maps. More specifically, it provides embodiments that utilize stereoscopic images with one or more depth maps typically in the form of a compressed grey scale image and, in some instances, incorporates depth information from a second view encoded differentially.

A calibration strip for use with a package of test strips includes a substrate with and a permutative grey scale calibration pattern disposed on a surface of the substrate with the permutative grey scale calibration pattern including more than one grey scale region. Moreover, the grey scale regions of the calibration strip define a grey scale permutation that uniquely corresponds to a calibration code of test strips in a package associated with the calibration strip.

The invention relates to a detection method for vehicle license plate real-time positioning character segmentation in the technical field of video monitoring, which comprises the following steps of: obtaining a video frame from image acquisition equipment; carrying out image preprocessing; increasing a signal-to-noise ratio; carrying out grey scale transformation; computing a threshold value by adopting an Otsu binarization method and converting a vehicle image into a binary image; firstly carrying out closed operation by using a structural element with the size of length pixels, separating a communicated region at a fine position and smoothing burrs appearing on the edge of the region; carrying out contour detection; and carrying out license plate region accurate positioning: accurately segmenting out each character. The invention has lower requirements for image color, a large amount of system memory resources of a computer can not occupied, the operational speed is quickened after an input image is converted into a grey-scale image, the accurate position of each character can be rapidly found, and each character is segmented out by applying an image shearing method.

The invention discloses a method for automatically detecting a coronary artery calcified plaque of a human heart. The method comprises the following steps of S1.adopting a deep learning neural networkto segment an original graph of a coronary artery CTA sequence in order obtain a coronary artery extraction graph of the human heart; S2.processing the coronary artery extraction graph of the human heart to generate a straightening picture of each branch vessel; S3.carrying out blood vessel segmentation on each straightening picture to obtain a straightening blood vessel graph of each branch vessel; S4.adjusting a window width and a window level, calculating a pixel value of the whole picture of each straightening blood vessel graph, if a pixel point whose pixel value is greater than 220 exists, determining that a calcified plaque exists, and screening out the straightening blood vessel graph with the calcified plaque; S5.converting the straightening blood vessel graph with the calcifiedplaque into a grey scale graph, filling the pixel point whose gray value is larger than 220 with the color, and obtaining a calcified plaque extraction result; and S6.calculating a rate of stenosis ofthe blood vessel and obtaining a quantization value. The method is effective for detection of most calcified plaques, automatic detection can be realized, and the efficiency is greatly improved.

The invention discloses a method and a device for compensating brightness of a display panel, which are applied to each preset gray-scale value. The method comprises the following steps of inputting of preset gray scales: inputting the same preset gray-scale values into each sub-pixel; obtaining of brightness: obtaining the actual brightness value displayed by each sub-pixel; compensation of grey scales: when the percentage of the actual brightness value deviating from the target brightness value of each sub-pixel is greater than the preset threshold value, determining the compensation gray scale value corresponding to each sub-pixel according to the actual brightness value of each sub-pixel, the target brightness value, and the preset contrast table of gray scale stepping values; inputting of compensation gray scales: inputting the corresponding compensation gray scale value into each sub-pixel; repeating the steps of obtaining the brightness, compensating the gray scale and inputting the compensation gray scale, until the percentage of the actual brightness value deviating from the target brightness value of each sub-pixel is smaller than the preset threshold value. The method has the advantages that by looking up the contrast table, the compensation gray scale corresponding to each sub-pixel is determined; by continuously compensating for multiple times, the target brightness value is approximate, and the brightness compensation result is more reliable.

The invention discloses an aggregate digital image assessment system which comprises a motion control module, a computer module, an image acquisition module and a power supply module, an image preprocessing module, an aggregate identity module, an aggregate analysis and evaluation module and a data storage module. The assessment method includes that: a computer sends an instruction to a motion controller for controlling the linear sliding of a laser scanner; a CCD camera takes a picture of aggregate on a scanning board and transforms the image to a digital image; the digital image is transformed to a grey-scale map, And an edge detecting operator is utilized for carrying out image enhancement and restoration to the transformed grey-scale map so as to transform the grey-scale map to a binary image; the aggregate in the binary image is projected and the image of the aggregate in the binary image is detected and separated; IPP image processing and analysis software is used for calculating the three-dimensional coordinate of the surface of the aggregate; quantitative assessment category is carried out to the characteristics of the aggregate to obtain the gradation, the shape, the corner angle and the texture of the aggregate; the computer stores experimental data as well as analysis and assessment results. The aggregate digital image assessment system of the invention can be used for analysis and assessment of the aggregate.

The invention discloses an optical compensation method and an optical compensation device of a display panel. The optical compensation method includes lightening the display panel according to a set grey scale in a standard grey scale range to acquire real display brightness of each pixel of the display panel; determining a compensation grey scale stepping value of each pixel according to the realdisplay brightness of each pixel, target brightness corresponding to the set grey scale and corresponding relation between brightness and grey scale; according to the determined compensation grey scale stepping value of each pixel and a predetermined extension gamma curve, subjecting each pixel to gamma voltage correction to enable each pixel to reach the target brightness. The extension gamma curve includes the standard grey scale range, a first extended grey scale range smaller than the smallest grey scale, and a second extended grey scale range larger than the largest grey scale, so that grey scales on the edge of the original standard grey scale range can be adjusted towards larger or smaller gamma voltage, each grey scale in the original standard grey scale range can be corrected accurately, and gamma correction capability is improved.

A method of initializing a spectral Doppler mode of operation for an ultrasonic system includes acquiring ultrasound-based data during a two-dimensional mode of operation for a particular examination session and includes automatically establishing settings for the Doppler mode operation parameters based upon the ultrasound-based data. That is, the ultrasound-based data is processed during the session to select spectral Doppler mode settings that are specific to the ongoing session. The session-specific settings are invoked when the system is switched to the spectral Doppler mode. If the two-dimensional mode is a colorflow mode, the Doppler sample volume can be based upon detecting the location of maximum velocity in the colorflow image, the angle correct setting can be based upon maximum velocities in colorflow vectors, the pulse repetition frequency setting can be based upon the maximum frequency shift detected in the colorflow data, and the gain setting can be based upon the amplitude of colorflow data. On the other hand, if the two-dimensional mode is a power mode, the Doppler sample volume is based upon detecting the region of the power mode image having the strongest signals, the angle correct setting can be based upon detecting the direction of flow, the Doppler pulse repetition frequency can be based upon a scale setting for the power mode data acquisition, and a gain setting can be based upon the amplitude of power mode data. Lastly, if the two-dimensional mode is the grey-scale imaging mode, the selection of a Doppler sample volume can be based upon identifying a dark region near the center of the grey-scale image, the angle correct setting can be based upon the orientation of the boundaries of the identified dark region, and the gain setting can be based upon the amplitude of image data.

The present invention discloses a road boundary detection method based on a three-dimensional laser radar. In the process of intelligent vehicle driving, point cloud data collected by a vehicle-mounted three-dimensional laser radar is subjected to rasterizing processing to generate a binary raster graphic. The binary raster graphic is subjected to a distance conversion operation to obtain a distance grey-scale map, a filing distance is smaller than the narrow space between obstacle points of certain thresholds, the overall contour of the obstacle points is not changed, and an obstacle area contour map is obtained. A region growing method is used, with the position of an intelligent vehicle as a start point, the region growing is carried out forward, the passable area contour map of a road is obtained, and combined with the original binary raster graphic, a road area contour map is obtained. The contours of two sides of the road area contour map are extracted, the second function fitting is carried out, and a road boundary is obtained. The method is applicable to an urban road, a rural road and other roads, the influence of obstacles on a detection effect is small, the time complexity is low, the real-time processing is achieved, day and night work is achieved, and the algorithm robustness is good.

A method of generating a digital AM halftone image output includes the steps of: (a) receiving a grey scale image from an image source; (b) generating an image component from the grey scale image; and (c) producing the digital AM halftone image output. The digital AM image output includes a plurality of halftone dots, each of which comprises at least one ink-receptive portion and at least one non-receptive portion. Patterns of halftone dots prepared in this manner may be sent as a digital output to an platesetter for producing a printing plate.

A method of optically measuring a three-dimensional surface by sequentially projecting predetermined patterns onto the surface to generate thereon a predetermined number of temporary images of different intensities. Each of the images is recorded by sensors of at least two matrix cameras and grey values are determined in a pixel by pixel manner of those images. A first approximation value is determined for calculating a first measuring point on the surface, and coordinates of this approximation value are associated on the sensor surfaces of both camera. The grey values of the images of each camera at the positions of the projected points are determined by subpixel interpolation, and a pair of grey scale gradation is detected therefrom. These steps may be repeated until a measuring point is determined by a pair of grey scale gradations analyzed to be similar.

The invention relates to a low grey scale correction method and system of an LED display device. The method comprises the steps that (a) the LED display device is controlled to display colors of multiple gray scales, and data acquisition is carried out on the colors of multiple gray scales so as to at least acquire multiple brightness measurement values corresponding to the multiple gray scales, wherein the colors are the same basic color, and the multiple gray scales are part of gray scales, within a low grey scale range, of all gray scales corresponding to the basic color; (b) multiple regulation coefficients corresponding to the multiple gray scales are acquired at least through the difference between the acquired multiple brightness measurement values and brightness target values corresponding to the multiple gray scales, and the multiple regulation coefficients are uploaded to the LED display device so that the LED display device can change the LED driving current according to the multiple regulation coefficients when displaying the multiple grey scales and the multiple grey scales can be corrected. According to the low grey scale correction method and system of the LED display device, by correcting the low grey scales one by one, the LED display device can make a linear response to current signals when displaying the low grey scales.