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81results about "Geometric image transformation" patented technology

Apparatus and methods for the optimal stitch zone calculation of a generated projection of a spherical image

ActiveUS20180101931A1Geometric image transformationMean square senseSingle line
Apparatus and methods for the stitch zone calculation of a generated projection of a spherical image. In one embodiment, a computing device is disclosed which includes logic configured to: obtain a plurality of images; map the plurality of images onto a spherical image; re-orient the spherical image in accordance with a desired stitch line and a desired projection for the desired stitch line; and map the spherical image to the desired projection having the desired stitch line. In a variant, the desired stitch line is mapped onto an optimal stitch zone, the optimal stitch zone characterized as a set of points that defines a single line on the desired projection in which the set of points along the desired projection lie closest to the spherical image in a mean square sense.
Owner:GOPRO

Method of quickly beautifying facial image in conjunction with skin roughness

ActiveCN106780311AGeometric image transformationSkin roughnessEllipse
The invention relates to a method of quickly beautifying a facial image in conjunction with skin roughness; the method comprises: converting the facial image from RGB space into YCbCr chrominance space, and extracting brightness component, blue chrominance component and red chrominance component graphs; solving an ellipse center and long and short radiuses of a skin color elliptical model in conjunction with blue chrominance component and red chrominance component histograms, and calculating a skin color soft threshold graph according to skin color similarity; processing brightness component to obtain a local skin color variance graph in conjunction with the skin color soft threshold graph, using the local skin color variance graph as a smoothing parameter and smoothing brightness component graph to perform Gaussian blurring on the soothing brightness component graph, and linearly mixing to obtain a smooth graph in conjunction with the brightness component graph; using the skin color soft threshold graph as a weight to fuse the brightness component graph and a smooth graph to obtain a fused graph, and subjecting the fused graph to curve whitening to obtain a finally beautified graph. The method uses skin color similarity and roughness to remove skin color defects while retaining the skin nature, and has significant overall beautifying effect.
Owner:HUAQIAO UNIVERSITY

Two-dimensional code distortion correction method and apparatus

Embodiments of the invention disclose a two-dimensional code distortion correction method and apparatus. The method comprises the steps of obtaining a two-dimensional code image; according to the two-dimensional code image, calculating distorted image coordinates of four vertexes of the two-dimensional code image; according to a preset length-width ratio of a two-dimensional code, calculating undistorted image coordinates corresponding to the four vertexes of the two-dimensional code image; according to the distorted image coordinates and the undistorted image coordinates, establishing a linear equation set; according to the linear equation set, calculating unknown parameters in a homography matrix; according to a calculation result, correcting the two-dimensional code image; and outputting a rectangular image containing the corrected two-dimensional code image. The method and the apparatus can be used for distortion correction of different types of two-dimensional codes; the use convenience and the diversity of application scenes are remarkably improved; the rotation-free corrected two-dimensional code image can be quickly obtained; the correction process is simple and quick; thefinally output corrected two-dimensional code image is a rectangular region image only containing two-dimensional code region information; subsequent decoding is facilitated; and the decoding efficiency can be improved.
Owner:BEIJING LUSTER LIGHTTECH

Caching method for vector diagram converted bitmap and special image processing device

InactiveCN103177419AGeometric image transformationImage memory managementApplication softwareRaster graphics
The invention discloses a caching method for a vector diagram converted bitmap and a special image processing device. The caching method comprises the steps of: storing a vector diagram into a vector diagram storage module based on different demands; drawing a corresponding vector diagram; carrying out optimization in the aspect of display for the vector diagram by a vector diagram-to-bitmap conversion module; handing in the well converted bitmap to a bitmap caching module by the vector diagram-to-bitmap conversion module; deleting unnecessary bitmaps from an internal memory; and obtaining necessary images from the bitmap caching module by the bitmap display module. The special image processing device comprises a vector diagram storage module, a vector diagram-to-bitmap conversion module, a bitmap caching module and a bitmap display module, wherein the output end of the vector diagram storage module is connected to the input end of the vector diagram-to-bitmap conversion module; the output end of the vector diagram-to-bitmap conversion module is connected to the input end of the bitmap caching module; and the output end of the bitmap caching module is connected to the input end of the bitmap display module. According to the invention, the size of the application is reduced to a relatively great extent.
Owner:SHANGHAI VENCOO NETWORK TECH

Rotation error correcting method of CT (Computerized Tomography) scanned images

InactiveCN103198465AImprove accuracyReduce computationImage enhancementGeometric image transformationRectangular coordinatesImage correction
The invention relates to a rotation error correcting method of CT (Computerized Tomography) scanned images. The rotation error correcting method comprises the following steps of: selecting two CT scanned images on the same scanned position at different displacement moments; selecting a proper threshold value, carrying out binaryzation onto the images, selecting specific rock matrixes in the images as reference substances in a subsequent correcting method; converting the obtained binary images into polar coordinate images from rectangular coordinate images; counting coordinates of the pixel occupied by each rock matrix in the polar coordinate images and calculating mass center coordinates of the rock matrix; comparing translation amount of the same rock matrix mass center in the polar coordinate images at different displacement moments, reversely calculating the relative rotary angles of the two initial CT scanned images; and rotating the initial CT scanned images. The rotation error correcting method of the CT scanned methods are used for converting the rectangular coordinate image into the polar coordinate images and converting the rotation problem into a translation problem, so that the computation quality and the complexity of the image rotation correction are reduced, and the image correction precision is improved.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Product edge defect detection method

ActiveCN112330678AFast onlineFast online edge defect detectionImage enhancementImage analysisTemplate matchingTransformation parameter
The invention discloses a product edge defect detection method. The method comprises the following steps: step 1, carrying out image input; step 2, carrying out image preprocessing; step 3, carrying out template rough matching; step 4, segmenting edge information to be measured; step 5, creating a template data structure; step 6, down-sampling the edge information to be measured; step 7, carryingout matching in the template; step 8, calculating affine transformation parameters; step 9, carrying out template fine matching; and step 10, carrying out edge defect detection. According to the method, the edge information of the image is binarized, so that the method has the advantages of being insensitive to illumination change and edge gray scale and being stable and reliable; the edge information downsampling is utilized to iterate template matching parameters from coarse to fine, so that the method has the advantage of high calculation speed; the RANSAC principle and the fine matching mode of parameter iterative optimization are utilized, so that the method has the advantage of high detection precision; and a segmented matching template matching mode is adopted, so that the advantageof stretching resistance is achieved.
Owner:CASI VISION TECH (BEIJING) CO LTD +1

Background bokeh method, device and system

InactiveCN107610046ARealize the effect of real-time blurNo additional costGeometric image transformationImaging processingSub region
The invention provides a background bokeh method, device and system, and relates to the technical field of image processing. The method includes: a main object and a bokeh region in an image to be blurred out are determined, wherein the bokeh region includes at least a sub region; a depth map of the image to be blurred out is determined; the main object and the bokeh region based on the depth mapare respectively carried on bokeh processing, and a target image after bokeh processing is obtained. The background bokeh method, device and system alleviate the technical problem of poor sense of hierarchy in bokeh processing of pictures existing in the prior art.
Owner:SHANGHAI WINGTECH ELECTRONICS TECH

Method for converting the coordinates of image data by way of random offset of the picture elements

InactiveUS6931163B1No disturbing patternsAvoid disadvantagesGeometric image transformationCharacter and pattern recognitionTransformation equationComputer graphics (images)
In a method for converting the coordinates of image data, the positions of new picture elements in a new coordinate system are calculated by means of coordinate transformation equations from the positions of initial picture elements in an initial coordinate system. The positions of the new picture elements are randomly modified in a variation range around the positions calculated by way of the coordinate transformation. For this purpose, random values are added to the calculated coordinates of the new picture elements. The method can be used in case of scale conversions, image rotation, etc. to improve the quality of the converted image. The method avoids both the corruption of the image structures caused by coordinate conversion and the formation of disruptive moire patterns. The method can be combined with known methods for calculating the color values of the new picture elements, such as the nearest-neighbor method or the interpolation method.
Owner:HEIDELBERGER DRUCKMASCHINEN AG

Low-light image colorizing method based on multidimensional data association rules

The invention discloses a low-light image colorizing method based on multidimensional data association rules. The method includes the steps of excavating multi-attribute rules of low-light images, classifying the low-light images based on SVM by using a sample database formed by different objects in similar scenes, excavating the set of strong association rules between brightness and colors in the low-light images by using multi-attribute-rule-constrained Apriori optimization algorithm, introducing class label elements, and finally generating a brightness-class-color strong association rule set; low-light image colorizing based on rule mapping, extracting pixel brightness and affiliated class in the low-light images, mapping and generating R, G, B color components corresponding to each pixel based on excavated and generated strong association rule set, and generating a color picture. Through the method, color images with good coloring effect and high color reduction degree can be obtained, hardware conversion is facilitated, and real-time coloring effect can be realized.
Owner:NANJING UNIV OF SCI & TECH

Unet-based improved infrared image photovoltaic panel boundary segmentation method under view angle of unmanned aerial vehicle

PendingCN113989261AFocus on edge profile informationHigh precisionImage enhancementImage analysisData setUncrewed vehicle
The invention discloses a deep learning-based photovoltaic panel semantic segmentation method applied to an infrared image. The method comprises the following steps of: establishing a photovoltaic panel data set under an unmanned aerial vehicle visual angle infrared light condition and preprocessing the photovoltaic panel data set; constructing an improved Unet semantic segmentation deep learning model; putting training sets into the improved Unet semantic segmentation deep learning model batch by batch for iteration, and testing the performance of the model obtained through real-time training through a test set; and inputting a to-be-detected photovoltaic panel image under the infrared light condition into the model corresponding to the minimum loss so as to process the to-be-detected photovoltaic panel image, and performing outputting to obtain a segmentation result. According to the method of the invention, the deep learning method is applied to the boundary detection of the infrared photovoltaic panel, and the Unet network model is improved, more significant shallow features are put forward to improve the segmentation precision of the photovoltaic panel.
Owner:ZHEJIANG ZHENENG ELECTRIC POWER +1

Object size estimation system and method and warehouse capacity estimation system and method

ActiveCN109978939AAutomated size calculationLow costImage enhancementImage analysisColor imageComputer vision
The invention discloses an object size estimation system and method, a warehouse capacity estimation system and method and a computer readable storage medium. The object size estimation system comprises a to-be-tested object, an object bearing device, the object bearing device being used for bearing to-be-tested goods, a first support, the first support being provided with a shooting device used for shooting a depth image and a color image, and an estimation module used for estimating the size of the to-be-measured object. According to the object size estimation system, the shooting device isarranged to obtain the depth information and the information, so that whether the object exists or not can be determined, the existence range of the object can be determined, and the size of the goodscan be estimated; the method can automatically calculate the size of the object without manual measurement, and is low in cost and high in efficiency.
Owner:ANHUI HONGTU ROBOT TECH CO LTD

Out-of-surface strain measuring method based on digital image correlation

ActiveCN110207606ACause inaccuracyImprove measurement efficiencyImage enhancementImage analysisDigital imageComputer science
The invention belongs to the technical field of composite stress and strain measurement, and provides an out-of-surface strain measuring method based on digital image correlation. The out-of-surface strain measuring method comprises the steps of: firstly, conducting a text according to an experimental scheme, correlating a camera with a force sensor in order to ensure that a distance between a lens and a test piece remains unchanged, driving the camera and force sensor to move simultaneously, slowly loading the test piece, and pressing down a camera shutter at the same time, wherein the camerashutter is not loosened during the test process until the end of loading, and images and test data before and after deformation are obtained after the test ends; secondly, writing an algorithm for calculating and searching a position of a point after deformation, so as to obtain deformation information (displacement and strain) of the test piece, and performing bilinear interpolation to obtain astrain value of an arbitrary point of the test piece through dividing regions; and finally, acquiring a strain cloud chart of the test piece through setting shades of colors according to whether the strain value is plus or minus and the magnitude of the strain value. The out-of-surface strain measuring method is convenient to operate, can be applied to deformation measurement of complicated structures, improves the calculation efficiency and expands the applicable range.
Owner:AEROSPACE SHENZHOU AIRCRAFT
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