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397 results about "Line defects" patented technology

Line defects are a form of crystallographic defects in which the defects occur in a plane of atoms in the middle of the crystal lattice. These defects occur when a plane of atoms misalign. Moreover, it is difficult to visualize a line defect. This is the main difference between point defect and line defect.

Power transmission line defect detection method based on hierarchical region feature fusion learning

The invention discloses a power transmission line defect detection method based on hierarchical region feature fusion learning. The power transmission line defect detection method comprises the stepsof constructing and calling a Faster R-CNN model; performing RPN network regression on the target features extracted by the backbone network to obtain a target area; carrying out roI pooling operationon an input image to generate local hierarchical region features, and generating weights required by feature fusion through deep selection network learning to fuse a deep feature region and a shallowfeature region; and generating a final prediction result through the classification network and the regression network. According to the invention, a self-learning regional feature fusion weight is generated by using a deep selection network; saving time to adjust parameters, fusion features obtained by model learning can better adapt to defect detection tasks under different complex conditions;the depth model performs prediction by using the regional features, enhances the learning ability of the model for extracting the local features of the target, and reduces the false detection problemof the model in the actual environment due to the complex background of the defect image of the power transmission line and the inter-class difference.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +4

Power line defect diagnosis method based on visible light image

The invention discloses a power line defect diagnosis method based on a visible light image. The power line defect diagnosis method includes: a defect data gallery of a power line defect is established; an image from the defect data gallery is segmented, image features are extracted from the segmented image, a defect feature gallery is established based on the extracted image features, and the defect feature gallery serves as a reference benchmark of establishing recognition and classification of the power line defect; the visible light image is applied to capture an actual power line so as to obtain a captured image of the actual power line, and the image features of the captured image is extracted; the obtained image features of the actual power line image and the image features in the established defect feature gallery carry out matching; if a matched dot pair is greater than or equal to a preset threshold, the obtained image features of the actual power line image and the image features in the established defect feature gallery are matched, namely the actual power line has defects; and if the matched dot pair is smaller than the preset threshold, the obtained image features of the actual power line image and the image features in the established defect feature gallery are not matched, namely the actual power line is normal. The diagnosis method is efficient, and can automatically detect defects of the power line.
Owner:ELECTRIC POWER RES INST OF GUANGDONG POWER GRID +1

Video display device capable of compensating for display defects

A video display device capable of compensating for display defects, comprising: liquid crystal panel for displaying an image through a pixel matrix; a data driver for outputting data to data lines of the liquid crystal display panel; a gate driver for driving the gate lines of the liquid crystal display panel; a timing controller for receiving compensated data, uncompensated data and synchronizing signals to output a gate control signal to the gate driver and to output both resultant data and a data control signal to the data driver; and a memory for storing information on point defect information on the liquid crystal display panel, and at least one of horizontal and vertical line defects of the liquid crystal display panel of the liquid crystal display panel; and a data compensation circuit for receiving display data and synchronizing signals, and outputting compensated data to the timing controller based on the information in the memory and uncompensated data to the timing controller, wherein the data compensation circuit includes a vertical line compensator for compensating a vertical line defect of the liquid crystal display panel, a horizontal line compensator for compensating a horizontal line defect of the liquid crystal display panel, and a multiplexer for selecting an output from one of the vertical line compensator and the horizontal line compensator in accordance with whether a defect is a vertical line defect or a horizontal line defect.
Owner:LG DISPLAY CO LTD

Power transmission line defect detection method and system and electronic equipment

The invention relates to a power transmission line defect detection method and system and electronic equipment. The method comprises the steps of constructing a power transmission line defect detection model based on virtual and real sample integration and transfer learning according to image sample data of power transmission line elements, The method specifically comprises the following steps: step a, constructing a virtual and real integrated virtual sample generation and labeling model, integrating rich ground object information in virtual data and real image data, and fusing the virtual data and the real data; B, constructing a deep learning transfer learning model, and completing model optimization based on transfer learning; And step c, training a deep learning model based on a target detection algorithm, and carrying out abnormity diagnosis on the power transmission line element on the basis of target detection of deep learning. Through deep learning distributed training of massimage samples, the power transmission line defect detection model based on multi-image fusion of visible light, infrared light, ultraviolet light and the like is established, the defect recognition accuracy can be improved, and the inspection working efficiency and quality are improved.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Method for producing graphene belts in controllable macroscopic quantity by chemically cutting grapheme

The invention relates to a technology for producing graphene belts, in particular to a method for producing graphene belts in controllable macroscopic quantity by chemically cutting grapheme. The method comprises the following steps of: firstly obtaining oxidized graphite in a Hummers method, selectively finishing line defects on the surface of the oxidized graphite by utilizing the oxygen-containing functional group in the process of oxidizing the graphite, and producing grapheme with surface line defects by combining high-temperature rapid expansion and peeling, thermal reduction, solvent dispersion and centrifugal separation; then cutting the graphene and recovering the structure of the graphene by utilizing ultrasonic shearing and chemical reduction; and finally removing large pieces of incompletely cut grapheme in a high-speed centrifuging method to further produce the graphene belt with controllable layer number and width. The method can be used for producing the graphene belt with controllable layer number, width and boundary by controlling the key cutting process parameters, such as graphite raw material variety, oxidization process, peeling process, reduction process, dispersion process and centrifugal treatment process, and the method is easy to operate and has low cost.
Owner:INST OF METAL RESEARCH - CHINESE ACAD OF SCI

Textile defect detection method

The invention relates to a textile defect detection method. The method comprise the steps that firstly, a to-be-detected textile image with the to-be-cut edge characteristics is collected, and a series of image preprocessing operations are performed on the collected to-be-detected image; secondly, sawteeth of the image are eliminated, and textile edges are roughly determined through an LSD straight line detection algorithm; thirdly, the accurate edge positions are obtained by transversely cutting a longitudinal average gray value variation diagram, real-time edge reference data are determined according to relevant parameters of an acquisition system, and then extracted edge information and the edge reference data are compared to determine the edges and count; defect distribution is determined by combining standard diagram characteristic parameters and ignoring the defects around the edges, all defect communicating regions are obtained by adopting a region growing method, and then the number of a textile where the detects are located is judged by combining the edge positions. According to the textile defect detection method, information reference determination is repeatedly performed on the textile edges, and therefore the precision of on-line edge counting is improved; fine and scattered defects are regrown and communicated, and therefore the precision of on-line defect detection is improved.
Owner:ZHEJIANG GONGSHANG UNIVERSITY
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