121 results about "Brightness gradient" patented technology

It is an object of the present invention to provide a method for fabricating a light emitting device, in which brightness gradient due to potential drop of a counter electrode can be prevented from being observed and an auxiliary electrode can be formed without increasing the number of steps, even when the precision of a light emitting device is improved. It is another object of the invention to provide a light emitting device fabricated according to the method. The light emitting device has a light emitting element and an auxiliary electrode in each pixel. The light emitting element includes a first electrode, a second electrode, an electroluminescent layer provided between the first and the second electrodes. Further, the first electrode is overlapped with the electroluminescent layer and the second electrode formed over an insulating film by means of a first opening formed in the insulating film. Still further, the auxiliary electrode is overlapped with the second electrode by means of a second opening formed over the second insulating film.

The position of an eye is detectable with high precision from a face image of a person taken under near infrared illumination or the like. After pre-processing, the face image is subjected to brightness correction to increase the contrast between the sclera portion and iris portion of the eye. Brightness gradient vectors are calculated for the brightness-corrected image, and matching is performed between a brightness gradient image generated using the calculated brightness gradient vectors and an eye template. Further, matching with a pupil template is performed to correct the eye center position. Final positions of both eyes are then determined.

An image display apparatus includes an image display unit having a light source and a light modulating unit; a histogram generating unit; a function generating unit; a first brightness calculating unit; a second brightness calculating unit; a first difference calculating unit; a first multiplying unit; a first summation calculating unit; a first brightness gradient calculating unit; a second brightness gradient calculating unit; a second difference calculating unit; a second multiplying unit; a second summation calculating unit; a weighted linear sum calculating unit; a determination unit; a control parameter selecting unit; and a control unit.

An active matrix type display apparatus is provided that is inexpensive, has less crosstalk, has no flickering and a brightness gradient, and is suitable for a large screen size. The display apparatus includes a plurality of pixel electrodes arranged in a matrix, switching elements (TFTs) connected thereto, scanning electrodes, video signal electrodes, common electrodes, and a counter electrode, wherein liquid crystal, for example, is interposed between the pixel electrodes and the counter electrode. Assuming that a gate-drain capacitance is C_gd, a common electrode-pixel electrode capacitance is C_st, and the total capacitance connected to the pixel electrodes is C_tot in this configuration, α_gd and α_st represented by α_gd=C_gd/C_tot, α_st=C_st/C_tot are set to be different values between a portion close to feeding ends in a screen and a portion away therefrom.

A method and system for determining an optical flow field between a pair of images is disclosed. Each of the pair of images is decomposed into image pyramids using a non-octave pyramid factor. The pair of decomposed images is transformed at a first pyramid scale to second derivative representations under an assumption that a brightness gradient of pixels in the pair of decomposed images is constant. Discrete-time derivatives of the second derivative image representations are estimated. An optical flow estimation process is applied to the discrete-time derivatives to produce a raw optical flow field. The raw optical flow field is scaled by the non-octave pyramid factor. The above-cited steps are repeated for the pair of images at another pyramid scale until all pyramid scales have been visited to produce a final optical flow field, wherein spatiotemporal gradient estimations are warped by a previous raw optical flow estimation.

Even when an enlarged image is deteriorated due to a block noise or color mixture, the contour in the enlarged image is sharpened and a quality of the image is improved. A contour extracting unit 103 determines a pixel indicating the contour in an interpolation image, using brightness gradient strength and a brightness gradient direction. A contour correcting unit 104 specifies a first isolation pixel isolated by the predetermined distance from each pixel indicating the contour in a brightness gradient direction of the pixel indicating the contour and a second isolation pixel isolated by the predetermined distance from each pixel in a 180°-rotation direction of the brightness gradient direction, for each pixel indicating the contour, corrects colors of the pixels between the pixel indicating the contour and the first isolation pixel with a color of the first isolation pixel, and corrects the colors of the pixels whose colors are not corrected with the color of the first isolation pixel among the pixels between the first isolation pixel and the second isolation pixel with a color of the second isolation pixel.

An object detecting device includes a calculating unit configured to calculate gradient intensity and gradient orientation of luminance for a plurality of regions in an image and calculate a frequency distribution of the luminance gradient intensity as to the calculated luminance gradient orientation for each of the regions, and a determining unit configured to determine whether or not an identified object is included in the image by comparing a plurality of frequency distributions calculated for each of the regions.

The invention relates to a video analyzing and monitoring technology, in particular to a block-based motion region detection method during monitoring a video sequence. The method comprises the following steps of: converting a pixel point difference into a pixel subblock difference by using a statistical method by using a pixel subblock as a minimum detection unit; setting on a background modeling basis; counting a noise level in time and space by utilizing a background difference method; then, dividing an image to be detected into mutually stacked pixel subblocks; and judging whether a motion target exits in a pixel subblock by using a background as a reference frame and counting a brightness difference, a gradient difference and a gradient direction difference between each pixel point in the pixel subblock and a corresponding pixel point in the reference background. By the invention, a low-contrast scene can be effectively processed, the uniform illumination change is suppressed, and the integrity of the motion region is guaranteed.

The invention discloses a method for enhancing an image edge. The method comprises the following steps of: establishing a matrix with a 3x3 brightness value by taking an enhanced point in a YUV image data as a central pixel; calculating gradient brightness values of the central pixel in different directions and judging whether the edge of the central pixel is a bright edge or a dark edge according to the gradient brightness values of the central pixel in the different directions; judging the edge orientation of the central pixel according to the gradient brightness values in different directions; and enhancing the edge of the image data according to the edge orientation of the central pixel and the edge types thereof. In the invention, the image edge is divided into the dark edge and the bright edge and the dark edge and the bright edge are processed separately, so different enhancement values can be superposed to make control and adjustment very convenient and flexible, and the brightness contrast of the edge is enhanced to make the edge look sharper; and meanwhile, the phenomenon that the transient distortion of the edge caused by enhancing the edge can be avoided.

To enable accurate and quick decision on the quality of a glass substrate, by precisely calculating the position of a defect in the depth direction, based on the image of a defect photographed, while moving the focal surface of a camera from the surface of the glass substrate to the inside, to obtain a clear image of a micro defects. The focal point of the camera is made to coincide with the position of a defect on the surface of the glass substrate; the gradient of illuminance in color in a boundary between the defect and the background thereof is calculated as a gradient index GI value with respect to a traveled distance from the glass surface, by using the image with the defect photographed, while the focal plane of a camera is moved from the surface of the glass substrate to the back side; the traveled distance, corresponding to the maximum of the gradient index GI value is determined as the position of the defect in the depth direction.

A time-to-contact estimation device for estimating a time to contact of a moving body to an object in surroundings of the moving body, includes: an image sensor provided on the moving body, and continuously capturing time-varying images of the surroundings of the moving body; a brightness change calculation unit calculating brightness changes in pixels between the time-varying images captured one after another; and a time-to-contact calculation unit calculating optimized brightness gradients based on the brightness changes calculated by the brightness change calculation unit, and calculating the time to contact of the moving body to the object based on the optimized brightness gradients.

A people counting device includes an edge extracting unit configured to extract an edge from a planar image of a target area, and a circle candidate detecting unit configured to detect a circle candidate included in the planar image based on the edge extracted by the edge extracting unit. The people counting device further includes a person determining unit configured to calculate a brightness gradient for each edge pixel constituting an edge of each circle candidate detected by the circle candidate detecting unit and determine that a circle candidate whose uniformity of brightness gradients for the edge pixels of the circle candidate is higher than a reference is a person's head portion, and a people counting unit configured to count the number of circle candidates determined to be a person's head portion by the person determining unit.

In a three-dimensional image generating apparatus, a luminance gradient calculating portion calculates a luminance gradient, which indicates the amount of change in luminance between a pixel of interest and a pixel adjacent thereto, a right-eye image generating portion corrects a pixel luminance in a correction amount having the same sign as the luminance gradient, and a left-eye image generating portion corrects a pixel luminance in a correction amount having the opposite sign to the luminance gradient. As a result, there is a difference in luminance distribution between left-eye and right-eye images, so that stereoscopic viewing is made possible without calculating depth information, and there is no change in pixel positions, so that the images do not appear doubled or they are resistant to appearing doubled.

The application discloses a backlight brightness adjustment method including that a microprocessor calculates a PWM duty cycle initial value and outputs the PWM duty cycle initial value to a backlightdriving module; respective PWM duty cycle values are stored in a flash memory; a brightness measurement device measures the actual brightness of a liquid crystal display panel; the PWM duty cycle values are automatically increased step by step based on the initial value; the microprocessor reconfigures the backlight driving module; and the best brightness is displayed on the liquid crystal display panel. A backlight brightness adjustment device disclosed in the application includes a keyboard, a microprocessor that automatically increase the values of the duty cycles step by step based on theinitial value; a backlight driving module; a flash memory; a liquid crystal display panel; a brightness measurement device, and a brightness sensor. The backlight brightness adjustment method and device can automatically measure and adjust the brightness, select the optimal value of the PWM duty cycle, gradually form a brightness gradient from the middle to both sides of the liquid crystal display panel, and enhance a narrow viewing angle display effect.

Systems and methods for anatomy shading and the garments that result therefrom are provided herein. More specifically, anatomy shading is any deliberate manipulation or addition of shading (a brightness gradient) to a garment in order to change the perceived shape of a wearer of the garment toward a desired appearance.

In a top emission type organic EL display device, brightness gradient in a screen is reduced while keeping a screen brightness. A reflection film is formed under a lower electrode and the light from an organic EL layer is emitted through an upper electrode. Light absorption of the upper electrode is larger on the side of a shorter wavelength. When a film thickness of the upper electrode is enlarged in order to reduce the brightness gradient in a screen, the film thicknesses of the upper electrodes for a red pixel and a green pixel are enlarged without enlarging the film thickness of the upper electrode for a blue pixel. This makes it possible to reduce the brightness gradient as well as to suppress the light absorption of the upper electrode.

The invention relates to an extracting and analyzing method for a horizontal nystagmus signal, a vertical nystagmus signal and a rotating nystagmus signal based on a nystagmus image. The method comprises the steps of decoding and normalizing; detecting and compensating reflection points; performing coarse positioning on an iris area; calculating a brightness gradient distribution matrix; constructing a shuttle-shaped ternary tree; calculating an optimal path; detecting the boundary of a pupil and the boundary of an iris; extracting the horizontal nystagmus signal and the vertical nystagmus signal; extracting the characteristic of the iris and coding and extracting the rotating nystagmus signal. According to the method, the nystagmus image is used as a processing object. Through video analysis and digital image processing technology, the nystagmus signals are extracted and visually displayed on a computer screen in a curve map manner, thereby supplying medically beneficial reference information.

Processing a digitized image signal includes selectively adjusting interpolated color values on the basis of correlations between pre-identified reference patterns of values and the patterns of values within the neighborhoods in which the interpolated color values reside. The reference patterns may be various possible combinations of a high reference value and a low reference value within a selected neighborhood configuration. When minimum and maximum color values are used as the reference values, the reference patterns are representative of the various maximum luminous gradient possibilities within the selected neighborhood configuration.

The invention discloses a self-counting microscopic detecting device, which comprises the following parts: microscopic objective lens and digital cam on the draw tube, upper-lower adjusting driving mechanism in the draw tube, driving and transmitting mechanism on the lower end of objective lens and moving out mechanism of glass-carrying piece from transmitting mechanism. The focusing method of microscope comprises the following steps: setting error parameter of brightness gradient value; shooting milk sample image on the glass-carrying piece; adjusting objective lens of microscope; shooting milk sample image on the glass-carrying piece again; comparing brim brightness gradient value of two images; affirming focus; focusing.

The embodiment of the invention provides an image classification method and apparatus, an electronic device, and a readable storage medium. At least one candidate sub graph is obtained in a to-be-classified image; a brightness matrix and a gradient matrix of each candidate sub graph are determined; according to the brightness matrix and the gradient matrix of each candidate sub graph, the pixel point number meeting a preset brightness value and a preset gradient value at the same time is determined and a brightness-gradient co-occurrence matrix corresponding to each candidate sub graph is formed; and on the basis of the brightness-gradient co-occurrence matrix corresponding to each candidate sub graph, an image type of the to-be-classified image is determined. According to the image classification method, the brightness and gradient feature information of the image is extracted and a statistic analysis is carried out on all pixel points in the image by combining the brightness-gradientfeatures, so that texture feature information of the image is obtained accurately and the accuracy of correct identification of the image type is improved. Moreover, only the feature information of the candidate sub graph is analyzed and thus the to-be-analyzed data volume is reduced, so that the efficiency of image type identification is enhanced effectively.

The invention discloses a digital image processing method of a video extensometer with an automatic tracking laser marker. The method includes the steps that a CCD is used for obtaining a sample image, the sample image is input to a computer through an image capture card, and normalization processing is conducted on the sample image to obtain the M*N sample image; the pixel value of each pixel in the sample image is corrected by the way of using a linear brightness adjustment algorithm based on image statistical information; defogging is carried out on the sample image through a selection of a Top-Hat conversion contrast ratio stretching method; an RGB color space is converted into a YCbCr color space, and the laser marker is extracted by the adoption of a self-adaptation Cr chromaticity threshold segmentation algorithm; then, the position of the laser marker is extracted to obtain an interesting image region only including a sample marker and the laser marker, and the sample marker is extracted by the way of using an image brightness gradient in the region; a technological base is provided for real-time precision tracking of the laser marker to the sample marker and material deformation solving. The digital image processing method of the video extensometer with the automatic tracking laser marker has strong robustness to changes in light intensity, environmental anti-jamming capability is strong, and the two markers are high in recognition precision.

Provided is a method for positioning an optical center on the basis of a concentric circle theory. The method comprises the following steps of: (a) selecting at least one predetermined available area from a target image; (b) acquiring at least one group of brightness data approximately conforming to circle distribution in the available area according to at least one brightness gradient value; (3) performing circle fitting on the brightness data approximately conforming to circle distribution to obtain at least one concentric circle; and (4) computing the center of the concentric circles so as to obtain the position of the optical center. The method prevents brightness analysis of a whole target image in a conventional method, determines the position of the optical center by performing circle fitting on the extracted concentric circles. A calibration plate and other shielding objects are not required to be removed in a whole process and the optical center is effectively and fast positioned. Whether a product is subjected to a horizontal eccentricity is determined according to the position of the optical center such that the quality of the product is guaranteed.