2043 results about "Vertical projection" patented technology

A method of automatically extracting data from an electronic document including tables is provided. The method includes: automatically identifying rows of the table using gaps in horizontal projections of the plurality of image sections, wherein at least some of the identified rows in close proximity are collected to form table formations; and automatically identifying columns of the table using at least some of the plurality of image sections that are vertically aligned, wherein the identified columns are grown in each of the table formations using gaps in vertical projections of the plurality of image sections until an obstruction is reached. The method further includes automatically identifying labels in the plurality of corresponding image sections to associate the identified labels with at least one of the identified columns and the identified rows; and automatically extracting data from cells of the table formed by the identified rows and columns.

The embodiment of the invention discloses a touch control display panel and a display device. The touch control display panel comprises a substrate, a plurality of fingerprint recognition units, touch control electrodes, and shading stop walls. The fingerprint recognition units respectively comprise a photosensitive diode which comprises a light-sensing surface. The touch control electrodes are respectively located at one side of the light-sensing surface of the corresponding photosensitive diode. The shading stop walls are located between a film layer where the fingerprint recognition units are located and a film layer where the touch control electrodes are located, and the vertical projections of the shading stop walls on the substrate are at least located between the vertical projections of the photosensitive diodes on the substrate and the vertical projections of the touch control electrodes on the substrate. The shading stop walls are used for shading the light reflected by the touch control electrodes to the light-sensing surfaces of the photosensitive diodes. The shading stop walls are used for shading the light reflected by the touch control electrodes to the light-sensing surfaces of the photosensitive diodes, thereby guaranteeing that the touch control electrodes cannot cause the increase of the fingerprint recognition noise, and guaranteeing the fingerprint recognition accuracy.

The invention relates to an insert (10) for an apparatus (100) for preparing food by circulation of a flow of hot air in a food basket (14) placed inside a food preparation chamber and having a bottom part (108) with a lower opening area (26) for the circulation of the flow of hot air. The insert comprises an upper surface (12) intended to be arranged below the food basket. The upper surface (12) defines an inclined surface (16) having a downward inclination extending outwards from a middle zone towards a perimeter of the insert. The inclined surface (16) is provided such that the inclination extends at least beyond a vertical projection of the lower opening area (26). The insert further comprises spacers (40) provided on a lower side (42) of the insert to create a clearance gap (44) between the lower side (42) and a bottom surface (46) of the food preparation chamber. This invention allows improving food preparation while minimizing the emission of cooking oil fumes.

The invention relates to a character extracting method in a digital video based on character segmentation and color cluster, which comprises the following steps: (1) character segmentation: utilizing the characteristic differences of a character area and a character interval area to carry out vertical projection to segment images in the character area, namely, segmenting each row of area image containing a plurality of characters into a plurality of subarea images only containing a single character so as to reduce the post operating and treating difficulties and improve the identifying accuracy rate of OCR; and (2) character extraction: firstly, using the character color characteristic in the image to cluster colors, finding out an image layer containing maximum character information as a target image layer, and deleting the background area; and then, using the communicating characteristics of the characters to analyze a communicating area of the target image layer, and removing non-character areas to obtain such three results as single character images, an integral image of the character area and an integral image spliced by the single character images respectively, wherein all the three results are input to an OCR system to be identified, and the latter two results use the semantic processing function of the OCR and can accurately determine the characters with similar forms according to the context to improve the identifying effect.

The invention relates to a fish eye lens calibration and fish eye image distortion correction method which belongs to the field of digital image processing and is very suitable for occasions of vision navigation, mobile monitoring and so on. Since imaging using a large wide angle will cause serious distortion, generally, imaging correction is needed to facilitate human eye observation. The method provided by the invention is mainly technically characterized by establishing a space coordinate system 1 and employing a least square curve-fitting method to calibrate a fish eye image to determine the center andthe radius of a fish eye lens, establishing a cylindrical projection model in a space coordinate system UV, and setting one-to-one relationships among an image point q2 of the fish eye image, a point q1 on object sphere and a point q projected on a cylinder, wherein q1 is in vertical projection relation with a bottom plane on which q2 is located and line q1q parallels to line oq2, thus achieving the purpose of fish eye image correction.

The embodiment of the present invention provides a display panel, a display device, and a pixel driving method. The display panel comprises a display area and a non-display area, a substrate, a sub-pixel unit, and a fingerprint identification unit, the vertical projection of which on the substrate is located in the display area; the non-display area comprises a binding area; the display area further comprises a first pixel area and a second pixel area; the second pixel area is located between the first pixel area and the binding area; the pixel opening area of the first sub-pixel unit in the first pixel area is larger than the pixel opening area of the second sub-pixel unit in the second pixel area; the sub-pixel unit comprises a pixel drive circuit and an organic luminescent device; and the resistance between a first supply voltage end and an anode in a pixel drive circuit in the first sub-pixel unit is smaller than the resistance between the first power voltage end and the anode in the pixel drive circuit in the second sub-pixel. The resistance between the first power voltage end and the anode in each sub-pixel unit in the display panel is adjusted so that the brightness of the display panel is more uniform.

The invention discloses a real-time robust far infrared vehicle-mounted pedestrian detection method. The method comprises the steps of catching a potential pedestrian pre-selection area in an input image through a pixel gradient vertical projection, searching an interest area in the pedestrian pre-selection area through a local threshold method and morphological post-processing techniques, extracting a multi-stage entropy weighing gradient direction histogram for feature description of the interest area, inputting the histogram to a support vector machine pedestrian classifier for online judgment of the interest area, achieving pedestrian detection through multi-frame verification and screening of judgment results of the pedestrian classifier, dividing training sample space according to sample height distribution, building a classification frame of a three-branch structure, and collecting difficult samples and a training pedestrian classifier in an iteration mode with combination of a bootstrap method and an advanced termination method. According to the real-time robust far infrared vehicle-mounted pedestrian detection method, not only is accuracy of pedestrian detection improved, but also a false alarm rate is reduced, input image processing speed and generalization capacity of the classifier are improved, and provided is an effective night vehicle-mounted pedestrian-assisted early warning method.

Stackable basket (1) of those used in self-service shops and/or supermarkets, easy to use and adaptable to different users, that ensures the required hygiene when stacked and basically is provided, in addition to a conventional hinged handle, with a telescopic handle (5), a pair of wheels (11), two vertical L-shaped walls (15) that define corresponding small cubicles together with the side walls of the basket (1) so that when the baskets are stacked the wheels (11) of the basket placed above are located on the vertical projection of said cubicles, and with at least two through orifices (16) placed on the lower vertices of the basket.

The invention discloses a license plate character segmenting method which comprises the following steps of: S10. correcting an inclined license plate; S11. removing an upper frame and a lower frame of the license plate; S12. segmenting license plate characters; and S13. normalizing the character size. The license plate character segmenting method overcomes the shortcomings that the traditional license plate character segmenting method is greatly affected by the background of the license plate, is high in the partitioning error rate, huge in calculation amount and long in execution time; the license plate character segmenting method is based on vertical projections and center-to-center spacing of the characters; and according to the license plate character segmenting method, firstly, a vertical projection method is used for realizing the coarse segmentation of the license plate characters, and then a first or second character segmentation region is found according to the center-to-center spacing of the license plate characters, the widths of the license plate characters and the prior knowledge of the license plate, and finally the merging of Chinese characters and the fine segmentation of numbers and English characters are realized. The license plate character segmenting method has the advantages that the computation complexity is low, the capacity of resisting disturbance is strong, the characters can be segmented from the background and the reliability is very high.

The invention relates to a recognition method of a license plate number of a motor vehicle, and belongs to the technical field of license plate number recognition. The recognition method comprises carrying out median filtering and noise reduction to an input image containing a license plate, locating multiple license plate areas by utilizing a binarization processing method and a morphological processing method, carrying out rotation correction and edge removing processing to the license plate areas one by one, carrying out character cutting by utilizing a vertical projection method, carrying out further edge removing processing to obtained character blocks in a cutting mode, carrying out character recognition by utilizing an enhanced edition template matching method, and therefore achieving fast and accurate license plate recognition. The recognition method improves the precision of license plate location, and fast and precise location of the license plate is achieved. The recognition method can be used in a real-time license place recognition system, and for processing high-speed data flow, meanwhile is high in recognition accuracy, and has certain robustness on illumination variation, influence of rain and mist, indistinct license plates, broken characters and other bad conditions.

The invention discloses an optic disc projection location method synthesizing vascular distribution with video disc appearance characteristics, which comprises the following steps of: (1) extracting an interest retina fundus image region by use of a mask operation; (2) carrying out normalization enhancement on a fundus image based on an image observation model; (3) achieving extraction and segmentation of the fundus image by using a non-vascular structure inhibition operator and combining with a hysteresis multi-threshold processing technology; (4) setting a vertical window of double main blood vessel width to slide on a blood vessel segmentation image along the horizontal direction and calculating a vascular distribution degree D(x) at each horizontal position x to obtain a distribution degree curve of a horizontal projection, wherein the minimum value point of the curve is determined to be optic disc horizontal coordinate xod; (5) setting a rectangular window side length of which is equal to the optic disc diameter to slide up and down at the horizontal coordinate xod, estimating local region brightness IN(xod, y) and edge gradient information gN(xod, y) respectively, drawing a vertical projection curve reflecting a change of a characteristic value f(y)=IN(xod, y)*gN(xod, y), wherein a maximum value point of the curve is optic disc vertical coordinate yod. The method has a simple algorithm, a high success rate and excellent robustness.

A system and method for effectively extracting facial feature information from image data may include a facial feature detector configured to generate facial feature information. The facial feature detector may perform an eye-area vertical projection procedure for generating eye information and eyebrow information. The facial feature detector may utilize an eyebrow filter to detect eyebrow location coordinates and eyebrow slope characteristics. Similarly, the facial feature detector may utilize an iris filter to detect iris location coordinates. The facial feature detector may also perform a mouth-area vertical projection procedure for generating corresponding nose/nostril location information and mouth/lip location information.

The invention discloses a method and system for stitching panoramas based on multiple cameras. The method for stitching panoramas based on multiple cameras is applied to unmanned aerial vehicles. The unmanned aerial vehicle includes a plurality of cameras for capturing different viewing angles, and Partial viewing angles of two adjacent cameras overlap, including the following steps: S1. Calibrate each camera separately to obtain the internal reference data and external reference data of each camera; S2. According to the internal reference data and external parameter data of each camera , project the image acquired by each camera to a UAV coordinate system, and the UAV coordinate system takes the vertical projection point of the UAV on the ground as the coordinate origin; S3. The images acquired by the camera are preprocessed; S4. According to the external parameter data of each camera, all the preprocessed images are matched by using the scale-invariant feature transformation feature to perform image stitching to obtain a panorama.

The invention relates to a visual navigation based multi-crop row detection method, which belongs to the related field of machine vision navigation and image processing, and aims to quickly and accurately extract a plurality of ridge lines in farmland and meet the requirements of the real-time navigation and positioning of agricultural machinery. The invention provides an agricultural machine vision navigation based multi-crop row detection method, which comprises the steps: calibrating camera parameters, acquiring video and image frames, and carrying out distortion correction for the image; dividing a crop ridge line area, extracting navigation positioning points by using the vertical projection method, and calculating the world coordinates of the positioning points; using the random straight line detection method to calculate the positioning points, and detecting the straight lines on which crop ridge rows are positioned; and obtaining the position of each crop ridge row in a world coordinate system relative to the agricultural operation machinery by calculation according to the slope parameters and intercept parameters of the straight lines. Compared with the traditional technology, the technical scheme of the invention greatly reduces time complexity and space complexity, and also improves the accuracy and the real-time of navigation.

The invention provides a method and a device for identifying second-generation identity cards based on intelligent mobile equipment. The method comprises the following steps: acquiring an image of a second-generation identity card by a camera; performing gray calculation and binarization processing on the image of the second-generation identity card to acquire binary image data; horizontally projecting the binary image data to acquire each black block; acquiring the region of citizen identification number information according to the black blocks; acquiring the name information region and the address information region according to a preset second-generation identity card template. According to the method, when the second-generation identity card image is processed, gray calculation, binarization processing, horizontal projection, vertical projection, relative coordinate position and other basic algorithms are used, and the algorithms can run conveniently in the intelligent mobile equipment; a second-generation identity card image shot by the method only needs to comprise content to be identified, the method is low in image shooting requirement, can be applied to the intelligent mobile equipment, and can be used by users conveniently.

The invention provides a defect detecting method and a defect detecting device. The method comprises the steps of acquiring an image of a region of interest (ROI); setting two threshold values, performing binarization processing on the ROI image according to normal pixel points of the ROI image with the pixel value within the two threshold values and defect pixel points of the ROI image with the pixel value beyond the two threshold values, so as to obtain a binarization image; performing vertical projection and/or horizontal projection on the defect pixel points of the acquired binarization image so as to obtain projection images of the defect points; and detecting the defects from the projection images. The method can realize detection of low contrast defects.

A touch display device and a method for manufacturing the same are provided. The touch display device includes a first substrate, a second substrate disposed opposite to the first substrate, and at least one touch signal transmission unit. The touch signal transmission unit includes: a first conductive layer located above a side of the first substrate facing the second substrate; a second conductive layer located above a side of the second substrate facing the first substrate; a touch signal transmission layer, located between the second conductive layer and the second substrate and electrically connected to the first conductive layer via the second conductive layer; and a spacer located between the first substrate and the second substrate, where a vertical projection of the spacer onto the first substrate at least partially overlaps vertical projections of the first conductive layer and the second conductive layer onto the first substrate.

The invention provides an organic light-emitting display panel, a display device, and a manufacturing method for the organic light-emitting display panel. The organic light-emitting display panel comprises a substrate which comprises a display region and a non-display region, wherein the non-display region surrounds the display region; an organic light-emitting part which is located in the displayregion, and is disposed at a first side of the substrate; at least one retaining wall which is disposed in the non-display region and surrounds the organic light-emitting part; and at least one protection metal layer which is located in the non-display region and is located at one side, far from the substrate, of the retaining wall, wherein the vertical projection of the retaining wall on the substrate is located in the vertical projection of the protection metal layer on the substrate. The foreign matters formed in the organic light-emitting display panel are eliminated, and the packaging reliability of the organic light-emitting display panel is improved.