40results about How to "Uniform gray scale" patented technology

The invention discloses a multi-line scanning high-refresh-rate full-color LED driving chip and a driving method, and belongs to the field of full-color LED driving chip design. The multi-line scanning high-refresh-rate full-color LED driving chip comprises a synchronous controller, a shift register, a state register, an SRAM buffer, a gray clock generation module, a driving module, a pre-charging circuit and an analog output module. The gray scale clock generation module is used for carrying out frequency multiplication/frequency division processing on the data clock signal DCLK according to the instruction information so as to generate a gray scale clock signal GCLK for controlling the gray scale. The driving module is used for counting the gray scale clock signal GCLK to obtain gray scale counting corresponding to each row of pixel data, and generating an output waveform of a PWM signal corresponding to each row of pixel data by using N continuous rows of pixel data and the corresponding gray scale counting in each scanning process, so that multi-row scanning is realized. The analog output module is used for receiving the PWM signal and generating constant current to drive the LED lamp bead in cooperation with the pre-charging circuit. According to the chip, the refresh rate can be improved, and more scanning lines can be supported.

The invention relates to a method and a system for extracting field image edges of plant leaves. The method comprises the following steps of: 1, smoothing and denoising a subimage in a partition area adjacent to an area containing a single leaf serving as a target image; 2, performing area-based threshold partition and gradient-based edge detection partition on the image processed by the step 1, and performing initial optimization to acquire an inner template of a target area; 3, judging whether the target area of the image processed by the step 2 is a leaf image or not, if so, executing the step 4, and otherwise, performing grayscale mapping and morphological reconstruction on the image processed by the step 1, and executing the step 2; and 4, performing operation of adhesion disconnection, false edge removal and closure on the image processed by the step 2 to obtain the edge image with a closed edge. The method and the system improve the accuracy and integrality of the extraction ofthe field image edges, which have non-uniform grayscale, of the plant leaves.

A thickness balancing method and device for a breast image. The thickness balancing method for the breast image includes the steps of: obtaining a breast image; filtering the breast image to obtain a low frequency breast image and a high frequency breast image; performing gray scale transformation on a preset area in the low frequency breast image to obtain a first image, a gray value of a preset area in the first image tending to be consistent with a gray value of a neighborhood, and the preset area referring to an area at a predetermined distance from an edge of the low frequency breast image; and reconstructing the first image and the high frequency breast image to generate a thickness-balanced breast image. The breast image after balancing which is obtained through the technical scheme of the invention has uniform gray scale while details of the breast image are not lost, satisfies actual clinical needs, the breast image after balancing is adopted to be diagnosed on a window level of a certain window width, and loss of edge information of the breast image does not occur, thereby lowering the rate of missed diagnosis, and improving the accuracy rate of diagnosis.

The invention relates to an array substrate for a display device and to a method for manufacturing an array substrate comprising a thin-film transistor (“TFT”). An array substrate according to an embodiment of the invention comprises a source electrode, a gate electrode and a drain electrode, wherein the gate electrode is located on a first metal layer, the source electrode and the drain electrode are located on a second metal layer, and in the case that dislocation occurs between the first metal layer and the second metal layer, the area of the overlapping region between the source electrode and the gate electrode keeps constant.

An anti-false check method of colorful contact lens comprises that 1, using geometry method to position the outer circle of iris, 2, based on the parameter of the outer circle, finding the constant area of a false iris, normalizing while the sample angle is 180-360degrees, 3, based on the normalized iris image in the step 2, extracting the contrast of a gray symbiotic matrix of the normalized iris image and the angle second-order moment, calculating the gray average value and variance of the normalized iris image, to obtain a four-dimension character vector, 4, based on the character vector, using a vector machine to classify two types, as one type is real iris and another type is false iris. The invention can quickly and effectively check colorful contact lens, to reduce the iris recognize error rate.

The invention puts a GF-4 image registration method, which has better robustness and adaptability, based on multi-feature mixing by aiming at automatic registration among GF-4 multispectral images. The method comprises the following steps that: 1) carrying out necessary preprocessing and image enhancement processing on a base image and a registration image; 2) according to topographic data elevation features, carrying out regional partitioning processing on an image overlapping area; 3) extracting and matching two features of two images to form an initial mixed point pair set; 4) setting a distance threshold value between feature points to optimize the initial mixed point pair set; 5) according to registration accuracy requirements, determining a final matching point pair set; 6) halving afinal matching point into a control point and a check point, establishing an affine transformation model for two-image registration according to the control point, and determining an affine transformation parameter; and 7) carrying out image resampling on the registration image, and evaluating the registration accuracy.

The invention relates to the technical field of machine vision detection, and discloses a method of uniformly optimizing an illuminating LED array light source for strip steel surface detection. Camera parameters are used for calculating a strip steel surface illumination reference value, the illumination reference value and a target gray illumination reference value are compared, and the size of the light source is calculated according to field space requirements; and on the basis of the above illumination values and the light source size, intensity distribution and uniformity of the overall light source illumination are decided by the size of an LED array interval, the LED array is optimized, and then, an LED light source structure which can meet field actual requirements can be obtained. According to the uniform optimizing method of the invention, the light source can have a compact structure, the area of the uniform illumination is large, and a detected object image with a uniform gray can then be acquired.

The invention belongs to the technical field of visual navigation, and discloses a stereoscopic visual navigation method based on green crop feature extraction invariance, which is used for extractinglocal features of green crops, and obtaining the change condition of the number of image feature points during angle change by using Gaussian homomorphic filtering and histogram equalization to process an image; establishing a crop elevation map by using the obtained feature points; extracting the edge contour of the target object in the image, and separating the green crop from the crop background; extracting navigation parameters from the confidence density map fused by the elevation map and the edge map, and adding navigation angle and side edge distance constraint conditions; and fittingthe navigation angle and the angle actually rotated by the agricultural robot, and verifying the correctness of a fitting function by adopting an S-shaped path. The agricultural robot platform is built, agricultural crop image information collected by the binocular camera is processed, parameters of the navigation process are extracted, and automatic navigation control over the agricultural robotis achieved.

Structures of array substrate and panel of LCD are provided. In the structures, a single pixel is divided into two sub-pixels. By altering thickness of passivation layer, dielectric layer or organic layer in the two sub-pixels, the total capacitances of the two sub-pixels are different. Therefore, the goal of increasing view angles of displays is achieved.

The invention discloses an electronic image stabilization method based on a ship-bone device, relates to the field of digital image processing and solves the problem that an existing electronic image stabilization method does not apply to the ship-bone device. The method comprises the steps of collecting original video images; selecting a reference frame image; reading a current frame image; calculating motion vectors: horizontal offset, vertical offset and a rotation angle through adoption of a motion estimation method based on an object-sky curve; filtering the motion vectors; compensating the motion vectors; and outputting a stabilized image. According to the method, according to the features of the images collected by the ship-bone device, when the motion vectors are estimated, the deficiency of the existing method is overcome, the new motion estimation method based on the object-sky curve is provided, and the image stabilization function of the ship-bone device is realized. According to the method, the translation quantity and the rotation angle of the current frame image relative to the reference frame image can be calculated rapidly and accurately, the operation quantity is low, the precision is high, the timeliness of an algorithm can be improved, the accuracy of the algorithm also can be improved, and the method has good robustness.

A display apparatus includes a backlight assembly generating a light; a sensor sensing an amount of the light and color coordinates of the light to generate sensing information; a display panel receiving the light and displaying an image in response to a gray-scale voltage; a gray-scale compensation unit receiving M-bit source data and compensating a gray-scale of the source data in response to the sensing information to generate N-bit first compensation data; and a data driver converting the first compensation data into gray-scale voltage and proving the gray-scale voltage to the display panel.

The invention provides a display baseplate, a display panel and a display device. The display baseplate comprises an alignment mark, and the alignment mark is used for aligning exposure equipment in the process of exposing to form the diagram of a first film layer on the display baseplate. The thickness of the middle area of the alignment mark is less than that of the marginal area of the alignment mark so that the thickness of the alignment mark is uniform after being coated with a photoresist. The alignment mark of the display baseplate cannot be in the shape of a Chinese character hui after being coated with the photoresist, and the surface of the alignment mark is flat, is uniform in gray scale and is clear in boundary after being coated with the photoresist, thus the problem that the exposure equipment cannot be focused can be solved, the automatic aligning and exposing of the exposure equipment can be realized, and the production efficiency can be improved.

The invention discloses an anti-dazzle certificate automatic reading system which comprises a light source, a light source control unit, an image acquisition unit and an image processing unit. The light sources comprise a left light source (11) and a right light source (12), the left light source (11) obliquely irradiates the surface of the certificate (10) rightwards, and the right light source (12) obliquely irradiates the surface of the certificate (10) leftwards; The light source control unit controls opening and closing of the light source independently; The image acquisition unit is usedfor acquiring two images of the certificate (10) when the left light source (11) and the right light source (12) are turned on respectively; and the image processing unit is used for selecting the right half side of the certificate image collected when the left light source (11) is turned on and the left half side of the certificate image collected when the right light source (12) is turned on, and splicing and combining the right half side and the left half side to obtain a complete glare-free image. Therefore, the problem of dazzle interference is solved, high-quality, readable and recognizable certificate images can be obtained, and correct inspection can be carried out.

The invention discloses an illumination compensation method and device for a dot matrix two-dimensional code. The method includes the steps of processing an original dot matrix two-dimensional code image by a binarization method and a morphological method, so that no hole is present in a dot matrix in the image to facilitate the comparison according to the processing result of binarization and theresult of morphological processing on the binarized image so as to quickly and accurately determine positions of holes of the dot matrix; eroding or swelling the original dot matrix two-dimensional code image to fill the holes of the dot matrix; determining an expected pixel value of the processed image according to the positions of the holes of the dot matrix, and compensating the expected pixelvalue to the holes of the original dot matrix two-dimensional code image to obtain a complete filled dot matrix two-dimensional code image; and smoothing the filled dot matrix two-dimensional code image to obtain a dot matrix two-dimensional code image with uniformly distributed grayscale. Thus, the method provided by the application can clearly distinguish the dot matrix from the background in the image and avoid affecting the subsequent signal extraction.

The invention discloses a motor train unit train side foreign matter detection method, relates to the technical field of image processing, and aims to solve the problems of low detection efficiency and low accuracy when whether foreign matters exist on a side apron board of a motor train unit train or not is manually detected in the prior art. The method comprises the steps: 1 obtaining the two-dimension image of a train; 2, intercepting an area image of the position of the side apron board of the train; step 3, carrying out gray normalization processing on the area image; 4, carrying out morphological processing on the image after gray normalization, and carrying out background modeling according to fixed features of the apron board; 5, performing difference matching on different apron board images and background models corresponding to the apron board images; 6, carrying out morphological processing on the image after difference matching; and 7, an area threshold value, a length threshold value, a width threshold value, and a length-width ratio threshold value of the contour being set, and whether a foreign matter exists being determined by comparing the image after morphologicalprocessing with the threshold values.

The invention discloses a micro-nano fluidic chip-based urine visible component analyzer and a use method thereof, and the use method comprises the following steps: S1, sucking a urine sample through a sucking device, and injecting the urine sample into a channel center position of a particle imaging chamber; s2, keeping the sheath fluid at the same flow speed on the two sides of the urine sample, and adjusting the posture of urine particles by adjusting the flow of the sheath fluid on the single side; s3, in the flowing process of the urine sample, using a stroboscope lamp for carrying out staged irradiation on the sample plate, and matching a proper sample flow rate so that an optical image of urinary sediment particles is obtained; s4, amplifying the urinary sediment particle optical image, and shooting through a camera to obtain a plurality of electronic images; s5, classifying and counting the multiple electronic images so that the number of particles of all components in the urine sample is obtained. According to the method, particle sedimentation which can only be achieved by a common instrument within two seconds in one minute is achieved, and the urine visible component analysis efficiency is greatly improved.

The invention discloses a knowledge-constrained bridge target image pneumatic optical effect correction method. According to the method, a space constraint relationship knowledge base between a bridge target and a background area is established on a ground; ground preparation is carried out before a flight, and the space constraint relationship knowledge base is used to establish a multi-scale template; images taken during a high speed flight are preliminarily corrected by a pneumatic optical effect, then an interested bridge area is extracted, and then a target area of the interested bridge area is precisely corrected; and finally the corrected interested bridge target area and the background area are merged to obtain a processed real-time remote sensing flight image. In the invention, the space constraint relationship knowledge base is established; for the real-time bridge images captured in the hypersonic situation, the constraint knowledge is used to extract the interested bridge area to carry out the pneumatic optical effect precise correction; the correction accuracy of the bridge target is ensured; and the real-time performance of the correction is greatly improved.