72 results about "Edge orientation" patented technology

An interlaced to progressive scan video converter which identifies object edges and directions, and calculates new pixel values based on the edge information. Source image data from a single video field is analyzed to detect object edges and the orientation of those edges. A 2-dimensional array of image elements surrounding each pixel location in the field is high-pass filtered along a number of different rotational vectors, and a null or minimum in the set of filtered data indicates a candidate object edge as well as the direction of that edge. A 2-dimensional array of edge candidates surrounding each pixel location is characterized to invalidate false edges by determining the number of similar and dissimilar edge orientations in the array, and then disqualifying locations which have too many dissimilar or too few similar surrounding edge candidates. The surviving edge candidates are then passed through multiple low-pass and smoothing filters to remove edge detection irregularities and spurious detections, yielding a final edge detection value for each source image pixel location. For pixel locations with a valid edge detection, new pixel data for the progressive output image is calculated by interpolating from source image pixels which are located along the detected edge orientation.

An edge adaptive system and method for image filtering. The method maps each output pixel onto input image coordinates and then prefilters and resamples the input image pixels around this point to reduce noise and adjust the scale corresponding to a particular operation. Then the edge in the input image is detected based on local and average signal variances in the input pixels. According to the edge detection parameters, including orientation, anisotropy and variance strength, the method determines a footprint and frequency response for the interpolation of the output pixel. In a more particular implementation, the method divides the input pixel space into a finite number of directions called skews, and estimates the edge orientation with the nearest skew direction. This further facilitates pixels inclusion in the interpolation of the output pixel.

A capacitive touch screen comprises at least one transparent insulated layer and at least one transparent electrode conducting layer, wherein, the transparent electrode conducting layer is arranged on the transparent insulated layer, and comprises a plurality of electrodes. The touch screen is characterized in that the edge of each electrode on the transparent electrode conducting layer is in the shape of a saw tooth in a visual area of the capacitive touch screen, so that the bending of the electrode edge can be utilized, to enable the edge orientation of the electrodes with smaller line width on the capacitive touch screen and the clearance between electrodes to incline with the arrange direction of pixel point arrays of a display device at a certain angle. Therefore, as far as the light interference is concerned, the slit direction is changed so that the generated interference fringes are not evident or disappear, the light interference in the visual area of the touch area is effectively weakened or avoided, and the better visual effect is possessed by the display device.

The invention provides an automatic expression recognition method. The method includes the following steps: step10, capturing face areas in frame images of a video and preprocessing the face areas, step20, extracting Gabor features and EOH features of images of the corresponding face areas, step30, integrating the corresponding features to acquire final superficial features of the target video and acquiring an expression tag sequence of each frame of video images through a classifier acquired by training, step 40, scanning the expression tag sequences, judging duration time of expressions and outputting expression classes according to the acquired micro- expressions.

A method of interpolating image data is disclosed. The method accesses a first set of discrete sample values of the image data and calculates kernel values for each of the discrete sample values using one of a plurality of kernels. The kernel is selected depending upon an edge orientation indicator, an edge strength indicator, and an edge context indicator for each of the discrete sample values. The calculated kernel values are convolved with the discrete sample values to provide a second set of discrete sample values.

A method for interpolating pixel data of an omitted line by use of pixel data from an interlaced scan, for de-interlacing an interlaced video image. Image edge direction is detected at the center position of every two neighboring scan lines in an interlaced scan. All the directions detected in a given field constitute an edge orientation map. Edge directions are filtered to remove false and unreliable edge directions from the edge orientation map. If an edge direction is removed, the vertical edge direction is used to replace that direction in the edge orientation map. For interpolating a new pixel at the center of two neighboring scan lines, the corresponding direction for that position is used as the interpolation direction to calculate the value of the new pixel. If the direction is vertical, a filter is used along the vertical direction to calculate the interpolation value. If the direction is non-vertical, and has an integer value, then interpolation is performed by taking the average of the two neighboring sample values along the direction. If the direction is non-vertical and has a non-integer value, then an interpolation value is calculated using a directional bilinear method.

A bitstream corresponding to an encoded video is decoded. The encoded video includes a sequence of frames, and each frame is partitioned into encoded blocks. For each encoded block, an edge mode index is decoded based on an edge mode codeword and a prediction mode. The edge mode index indicates a subset of predetermined partitions selected from a partition library according to the prediction mode. The encoded block is partitioned based on the edge mode index to produce two or more block partitions. To each block partition, a coefficient rearrangement, an inverse transform and an inverse quantization is applied to produce a processed block partition. The processed block partitions are then combined into a decoded block for a video.

The invention discloses a method for enhancing an image edge. The method comprises the following steps of: establishing a matrix with a 3x3 brightness value by taking an enhanced point in a YUV image data as a central pixel; calculating gradient brightness values of the central pixel in different directions and judging whether the edge of the central pixel is a bright edge or a dark edge according to the gradient brightness values of the central pixel in the different directions; judging the edge orientation of the central pixel according to the gradient brightness values in different directions; and enhancing the edge of the image data according to the edge orientation of the central pixel and the edge types thereof. In the invention, the image edge is divided into the dark edge and the bright edge and the dark edge and the bright edge are processed separately, so different enhancement values can be superposed to make control and adjustment very convenient and flexible, and the brightness contrast of the edge is enhanced to make the edge look sharper; and meanwhile, the phenomenon that the transient distortion of the edge caused by enhancing the edge can be avoided.

A structural camouflage system includes as the primary structural component a planar panel with a reflective outer face, formed in a trapezoidal configuration with upper and lower edges of the panel in parallel relation, the panels connected in edge to edge orientation to form an enclosed structure with the reflective faces of the panels facing outward of the structure and inclined toward the surface upon which the structure rests, so that the panels reflect an image of the immediate foreground to more distant observer looking toward the structure, camouflaging the structure. In an alternative embodiment, a plurality of reflective strips are connected to vertical supports with each strip disposed at an angle so as to reflect a composite image of the immediate foreground to a more distant observer.

A thermal interface structure includes a carbon nanotube layer, in which the carbon nanotubes are oriented parallel to the direction of thermal transmission and metal layers provided on two edge surfaces of the carbon nanotube layer, the edge surfaces being perpendicular to the direction of the thermal transmission and located substantially parallel to the orientation direction at which edges of the carbon nanotubes are oriented.

A method of providing a super-resolution image is disclosed. The method uses a processor to perform the following steps of acquiring a captured low-resolution image of a scene and resizing the low-resolution image to provide a high-resolution image. The method further includes computing local edge parameters including local edge orientations and local edge centers of gravity from the high-resolution image, selecting edge pixels in the high-resolution image responsive to the local edge parameters, and modifying the high-resolution image in response to the selected edge pixels to provide a super-resolution image.

Roughly described, a design rule data set is developed offline from the design rules of a target fabrication process. A design rule checking method involves traversing the corners of shapes in a layout region, and for each corner, populating a layout topology database with values that depend on respective corner locations. After the layout topology database is populated, the values are compared to values in the design rule data set to detect any design rule violations. Violations can be reported in real time, while the user is manually editing the layout. Preferably corner traversal is performed using scan lines oriented perpendicularly to edge orientations, and scanning in the direction of the edge orientations. Scans stop only at corner positions and populate the layout topology database with what information can be gleaned based on the current scan line. The different scans need not reach each corner simultaneously.

Provided is a single-image super-resolution reconstruction method based on edge difference constraint. The method includes following three steps: step 1, extracting a texture principal direction characteristic of a training image through a Gabor filter, and performing a principal component analysis dictionary training to obtain a training dictionary; step 2, constructing a reconstruction model by employing the dictionary, and obtaining an initial reconstruction high-resolution image with a good edge structure through iterative threshold shrinkage; and step 3, describing an operator, a spatial distance, a pixel intensity, and edge orientation information by employing a histogram of oriented gradients between image blocks, establishing a non-local structure tensor optimization model, further optimizing and processing the initial reconstruction high-resolution image, and obtaining a final reconstruction high-resolution image with a substantial edge structure and abundant detail information. According to the method, by considering the difference between the initial reconstruction high-resolution image and an original clear image, the post-processing optimization method is further proposed, and the detail information of image edges and textures is abundant.

The invention discloses a method for human shielded contour detection based on rotational depth learning. Firstly, the initial segmentation of an image is obtained by dividing and merging an input person image, and a segmentation contour of a target is extracted by regional merging of the color and the content; secondly, according to a rotation angle set, the image is rotated, sampled and labeledto obtain an edge image block set, based on a convolutional neural network, a depth model of the edge orientation detection is constructed, and a rotation image block acquisition set is used to traina shallow layer model and a deep layer model; and finally, the trained depth model of the edge orientation detection is used to detect the local contour orientation, the local contour orientation is evaluated for consistency, and the character segmentation contour orientation is extracted.

The image processing procedure of the invention receives mosaic image data and calculates a vertical-direction color difference component with regard to each of pixel columns in the mosaic image data in a vertical direction and a horizontal-direction color difference component with regard to each of pixel rows in the mosaic image data in a horizontal direction. The mosaic image data is expressed by a combination of pixel columns with alternate arrangement of pixels of a G component and pixels of an R component in the vertical direction, pixel columns with alternate arrangement of pixels of the G component and pixels of a B component in the vertical direction, pixel rows with alternate arrangement of pixels of the G component and pixels of the R component in the horizontal direction, and pixel rows with alternate arrangement of pixels of the G component and pixels of the B component in the horizontal direction. The image processing procedure subsequently selects pixels of the R component and pixels of the B component from the mosaic image data, and compares a variation of the vertical-direction color difference component with a variation of the horizontal-direction color difference component with regard to each of at least the selected pixels to detect edge orientations of the at least selected pixels. The image processing procedure refers to the detected edge orientations, and interpolates a missing color component in each pixel of the mosaic image data with the settings of one color component in each pixel in the mosaic image data.

Roughly described, a design rule data set includes rules on derived layers. The rules are checked by traversing the corners of physical shapes, and for each corner, populating a layout topology database with values gleaned from that corner location, including values involving derived layers. After the layout topology database is populated, the values are compared to values in the design rule data set to detect any design rule violations, including violations of design rules defined on derived layers. Violations are reported in real time during manual editing of the layout. Preferably corner traversal is performed using scan lines oriented perpendicularly to edge orientations, scanning in the direction of the edge orientations. Scans stop only at corner positions on physical layers, and populate the layout topology database with what information can be gleaned based on the current scan line, including information about derived layers. The scans need not reach corners simultaneously.

An edge adaptive system and method for image filtering. The method maps each output pixel onto input image coordinates (110) and then prefilters and resamples the input image pixels around this point to reduce noise and adjust the scale corresponding to a particular operation. Then the edge in the input image is detected based on local (125) and average (127) signal variances in the input pixels. According to the edge detection parameters (129), including orientation, anisotropy and variance strength, the method determines a footprint and frequency response for the interpolation of the output pixel. In a more particular implementation, the method divides the input pixel space into a finite number of directions called skews, and estimates the edge orientation with the nearest skew direction. This further facilitates pixel inclusion in the interpolation of the output pixel.

A machining unit that is supported on a machine tool and machines a workpiece by a revolving tool with a main spindle section being driven and rotated includes an eccentric rotational section, a tool holder, a tool revolution-radius changing mechanism, and a cutting-edge-orientation correcting mechanism. The eccentric rotational section is disposed on the main spindle section, and is rotatable about an eccentric axis that is located eccentrically at any distance in a radial direction of the main spindle section from a rotation center of the main spindle section. The tool holder is disposed on the eccentric rotational section, and supports the tool. The tool revolution-radius changing mechanism moves the tool in the radial direction, and changes the radius of the revolution of the tool by rotating the eccentric rotational section about the eccentric axis. The cutting-edge-orientation correcting mechanism corrects the orientation of a cutting edge of the tool by making the tool holder spin about an axis of the tool holder, the axis being parallel to the rotation center of the main spindle section.