Abstract: A semiconductor device and a manufacturing method thereof are provided. The semiconductor device includes a first gate, a gate dielectric layer, a pair of second gates, a first spacer, and a second spacer. The first gate is disposed on a substrate. The gate dielectric layer is disposed between the first gate and the substrate. The pair of second gates are disposed on the substrate and respectively located at two sides of the first gate, wherein top surfaces of the pair of second gates are higher than a top surface of the first gate. The first spacer is disposed on sidewalls of the pair of second gates protruding from the top surface of the first gate and covers the top surface of the first gate. The second spacer is disposed between the gate dielectric layer and the pair of second gates, between the first gate and the pair of second gates, and between the first spacer and the pair of second gates.

Abstract: Provided is a method for suppressing common-mode current of neutral line in T-type three-level three-phase inverter, the method of the present disclosure can effectively suppress LC filter resonance contained in the currents of a circulation neutral line and inversion side of a inverter, reduce the common-mode leakage current of the inverter, and improve the performance of the inverter.

Abstract: The present invention provides a medical image processing method and a computer-readable storage medium. The method includes: reconstructing a two-dimensional cross-sectional image of an imaged tissue based on a volumetric image of the imaged tissue; projecting a CT value of the imaged tissue along a normal direction of the centerline of the imaged tissue in the two-dimensional cross-sectional image; and, positioning the imaged tissue based on the projection result of the CT value of the imaged tissue.

Abstract: The present disclosure provides a computer implemented method. The method includes using a computer processor to perform the operations of constructing a nucleic acid mutation interaction network based upon nucleic acid pair-level interactions of a genetic sample scored under at least one disease model. The method further includes performing a thresholding and binarization process on the nucleic acid pair interactions to derive an interaction network. The method further includes testing pairs of pathways of the interaction network for either between pathway model (BPM) or within pathway model (WPM) enrichment of nucleic acid-nucleic acid mutation pair interaction. The method additionally includes outputting nucleic acid-nucleic acid mutation pair interaction data.

Abstract: A method for generating material hardening effect data is provided. Actual X-ray attenuation values of a universal phantom corresponding to different angles at each of channels may be obtained. Equivalent filtration thicknesses corresponding to each of the channels may be determined according to theoretical X-ray attenuation values and the actual X-ray attenuation values corresponding to different angles at each of the channels. Hardening effect data corresponding to a material may be generated according to a predetermined length of the material, a number of sampling points and the equivalent filtration thicknesses corresponding to each of the channels.

Abstract: A method for controlling an X-ray dose of a CT scan includes: setting an initial X-ray dose; performing a first CT scan with the initial X-ray dose to obtain an initial scan image; setting a region of interest (ROI) in the initial scan image; calculating a subsequent X-Ray dose with image values of the ROI in the initial scan image; perform an additional CT scan with the calculated subsequent X-Ray dose to obtain an average image; before receiving an end instruction, repeating the following operations: recalculating a subsequent X-Ray dose with image values of the ROI in the average image and performing an additional CT scan with the calculated subsequent X-Ray dose to obtain a new average image; and saving the average image when receiving the end instruction.

Abstract: A table and flowchart detection method is disclosed. First, based on connected component analysis and the sizes of the connected components, a target connected component that corresponds to possible elements of table or flowchart is detected in the input image. The target connected component is broken into corners and edges that connect the corners. Based on the relationship between the corners and edges, it is determined whether the target connected component is a table or a flowchart. For table detection, the edges and corners are linked into horizontal sets and vertical sets, and based on corner counts in the horizontal sets and vertical sets, it is determined whether the target connected component is a table. For flowchart detection, the boundary boxes and connecting lines between boundary boxes are detected to determine whether the target connected component is a flowchart.

Abstract: An image encoded with character information can be created by binarizing an input image followed by connected component labeling, and then repeating the binarization and connected component labeling on an inverted version of the input image. This results in identification of connected components. Related connected components are arranged in a family tree in which successive generations of the connected components alternate between two tree layer classifications. One of the tree layer classifications is selected based on whether certain connected components define characters. A label image is created which includes labels for the connected components except for the connected components in the selected tree layer classification.

Abstract: A table and flowchart detection method is disclosed. First, based on connected component analysis and the sizes of the connected components, a target connected component that corresponds to possible elements of table or flowchart is detected in the input image. The target connected component is broken into corners and edges that connect the corners. Based on the relationship between the corners and edges, it is determined whether the target connected component is a table or a flowchart. For table detection, the edges and corners are linked into horizontal sets and vertical sets, and based on corner counts in the horizontal sets and vertical sets, it is determined whether the target connected component is a table. For flowchart detection, the boundary boxes and connecting lines between boundary boxes are detected to determine whether the target connected component is a flowchart.

Abstract: A method for image processing, including: obtaining an image including a writing board and a background external to the writing board; detecting a plurality of lines within the image; determining, based on the plurality of lines, a plurality of corners of the writing board within the image; and correcting a perspective of the writing board by applying a transformation to the image based on the plurality of corners.

Abstract: In a document image segmentation method, pixels of the image are classified into different types such as background, text, table, etc., to generate an initial segmentation map. The initial segmentation map is processed multiple rounds. In each round, a working map is divided into 2×2 pixel blocks; based on pixel types in the block, a corresponding pixel in a combined map is assigned a type, and pixels in a corresponding block in the segmentation map are modified either to change some background pixels to other types or keep them unchanged. The initial segmentation map is used as the working map in the first round, and the combined map of the last round is used as the working map for the next round. After a number of rounds, remaining background pixels of the segmentation map are changed to other types based on the types of their neighboring areas.

Abstract: A method for image processing, including: obtaining an image including a writing board and a background external to the writing board; detecting a plurality of lines within the image; determining, based on the plurality of lines, a plurality of corners of the writing board within the image; and correcting a perspective of the writing board by applying a transformation to the image based on the plurality of corners.

Abstract: A processing method for a color barcode image captured by a camera or barcode reader. The barcode includes color data cells and multiple large black locators which are located at the four corners of the barcode, along the four borders, and inside the barcode forming an array. The locators are first identified. Perspective correction is performed by dividing the barcode image into smaller regions each containing four locators, individually transforming each region into its original shape e.g. square, and spatially combining them into the barcode image. Illumination correction is applied to the barcode image based on average pixel intensities of the locators, by calculating an illumination correction map using the average densities of the locators and 2-dimensional interpolation for pixel positions other than the locators.

Abstract: A processing method for a color barcode image captured by a camera or barcode reader. The barcode includes color data cells and multiple large black locators which are located at the four corners of the barcode, along the four borders, and inside the barcode forming an array. The locators are first identified from a grayscale version of the barcode image using multiple binarization technique to ensure that all locators are identified. Perspective correction and illumination correction may be applied to the barcode image using the identified locators.

Abstract: A vertical and horizontal line detection method for document images includes generating multiple binary images from the input grayscale document image based on multiple binarization thresholds, detecting horizontal and vertical lines in each of the multiple binary images independently, and merging the detection results from the multiple binary images. The line detection process for each binary image include applying an opening operation using a vertical or horizontal line as the structuring element, and removing connected components that are not vertical or horizontal lines based on a stroke width analysis. The boundaries of the detected lines are obtained using horizontal and vertical projections.

Abstract: A 2D color barcode decoding method is disclosed. The barcode includes a 2D array of data cells, corner locators, and border reference cells. Each data cell and reference cell has one of four primary colors (e.g. CMYK or CMWK). The reference cells, which have known colors, are used to calculate the channel offset (a spatial offset) of each primary color and the reference color values of each primary color. The reference cells are also used to calculate a color conversion matrix between color intensity (RGB) values and the primary color. Pixel-color probabilities are calculated from the pixel color intensity values using the color conversion matrix. The color of each data cell is determined using the pixel-color probabilities, the pixel color intensity values, the reference color intensity values, and the channel offset.

Abstract: A 2D color barcode layout is disclosed. The barcode includes a 2D array of data cells, four corner locators, and border reference cells forming four borders between the corner locators that substantially surround the array of data cells. Each data cell and border reference cell has one of four primary colors (e.g. CMYK). Most border reference cells have the same size as the data cells, except for yellow ones which are longer. The border reference cells form a repeating color sequence along the borders, and are used during decoding to calculate (1) the channel offset (a spatial offset) of each primary color at different locations along the borders and (2) the reference (average) color values of each primary color. During decoding, the color values of each data cell is measured while taking into account channel offset which is calculated by interpolating the channel offset of the border reference cells.

Abstract: A method for generating material hardening effect data is provided. Actual X-ray attenuation values of a universal phantom corresponding to different angles at each of channels may be obtained. Equivalent filtration thicknesses corresponding to each of the channels may be determined according to theoretical X-ray attenuation values and the actual X-ray attenuation values corresponding to different angles at each of the channels. Hardening effect data corresponding to a material may be generated according to a predetermined length of the material, a number of sampling points and the equivalent filtration thicknesses corresponding to each of the channels.

Abstract: A method for binarization of document image using multi-threshold process to determine an optimum global binarization threshold for the image. The optimum binarization threshold is determined by binarizing the document multiple times using different threshold values, and calculating the statistics of the useful information and noise for each threshold value to select the optimum threshold value.

Abstract: A 2D color barcode layout is disclosed. The barcode includes a 2D array of data cells, four corner locators, and border reference cells forming four borders between the corner locators that substantially surround the array of data cells. Each data cell and border reference cell has one of four primary colors (e.g. CMYK). Most border reference cells have the same size as the data cells, except for yellow ones which are longer. The border reference cells form a repeating color sequence along the borders, and are used during decoding to calculate (1) the channel offset (a spatial offset) of each primary color at different locations along the borders and (2) the reference (average) color values of each primary color. During decoding, the color values of each data cell is measured while taking into account channel offset which is calculated by interpolating the channel offset of the border reference cells.