287 results about "Edge strength" patented technology

A method and apparatus for determining edge information for image data comprising a mapping of discrete sample values are disclosed. An edge strength value is calculated for each of the discrete sample values of the image data to identify edge sample values, and an angle of orientation is stored for each of said edge sample values. The edge sample values and the stored angle of orientation for each of said discrete sample values are manipulated using a morphological process.

An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed. By comparing the edge strength of a pixel with those of immediately adjacent pixels and with a predetermined threshold value, a decision can be reliably made for each pixel as to whether it is actually located on an edge and, if so, the direction of that edge.

Disclosed herein are systems and methods for estimating global and local motions between a pair of temporally adjacent frames of an input signal and for applying these motion vectors to produce at least one interpolated, motion-compensated frame between the adjacent frames. In particular, the systems and methods comprise designs for a motion compensated frame rate converter including a global affine motion estimation engine, a global translation motion estimation engine, a segmentation mask generator, an object edge strength map generator and a local motion estimation engine. Combinations of these features are implemented in a motion compensated picture rate converter to accurately and efficiently provide motion estimation and compensation for a sequence of frames.

The method of determining a focus measure from an image includes detecting one or more edges in the image by processing the image with one or more first order edge detection kernels adapted to reject edge phasing effects. A first measure of the strength of each of the edges, and the contrast of each of the edges may be determined. The method may include normalizing the first measure of the strength of each of the edges by the contrast of each of the edges to obtain a second measure of the strength of each of the edges, and resealing the second measure of the strength of each of the edges. The method may also include selecting one or more of the edges from the image in accordance with the second measure of their strengths, and calculating the focus measure from the second measure of the strengths of the selected edges.

A system for the generation of electrical power using an improved 600-watt to 900-watt wind turbine system. The system comprises a wind driven generator utilizing an array of uni-directional carbon fiber turbine blades, an air-ducting nose cone, and a supporting tower structure. Additionally, a method of blade fabrication utilizing expanding foam, to achieve improved blade edge strength, is disclosed. The support tower utilizes a compressive coupler that permits standard fence pipe to be joined without welding or drilling.

In one or more embodiments, driver awareness may be calculated, inferred, or estimated utilizing a saliency model, a predictive model, or an operating environment model. An awareness model including one or more awareness scores for one or more objects may be constructed based on the saliency model or one or more saliency parameters associated therewith. A variety of sensors or components may detect one or more object attributes, saliency, operator attributes, operator behavior, operator responses, etc. and construct one or more models accordingly. Examples of object attributes associated with saliency or saliency parameters may include visual characteristics, visual stimuli, optical flow, velocity, movement, color, color differences, contrast, contrast differences, color saturation, brightness, edge strength, luminance, a quick transient (e.g., a flashing light, an abrupt onset of a change in intensity, brightness, etc.).

A glass article having improved edge strength. The glass article includes a glass substrate and an outer edge comprising a glass frit disposed on the edge of the substrate, wherein the glass frit is under compression. Methods of making the glass article and strengthening the edge of a glass article are also provided.

By the use of an epsilon filter, in the case where a plurality of different illuminations exist, a boundary between the illuminations can be appropriately extracted, and an unnatural image pattern can be prevented from being generated, therefore subjectively preferable compression of a dynamic range can be achieved. An edge strength G(x, y) is calculated per position on an input image, and a threshold E(x, y) of an epsilon filter (12) is controlled on the basis of the edge strength G(x, y). The epsilon filter (12) filters the input image on the basis of the controlled threshold E(x, y). On the basis of the edge strength G(x, y), the threshold E of the epsilon filter (12) is adaptively changed according to a local gradient of a pixel value I(x, y), so in the case of using a linear lowpass filter or a fixed threshold epsilon filter, an illumination boundary can be more accurately extracted.

The invention discloses a method of lane line detection and an equipment thereof. The method comprises the following steps of: carrying out edge detection on images and calculating edge strength and edge direction of all pixel points in the images; carrying out edge connection on all the pixel points according to the edge strength and edge direction and obtaining edge line segments in the images; carrying out Hough transform on the edge line segments and calculating the maximum accumulative direction thereof in a Hough transform accumulative column diagram including a directional interval and a distance interval; and in the interval of the maximum accumulative direction, finding a distance interval corresponding to a larger accumulative value, thus determining the lane line according to the maximum accumulative direction and the distance interval corresponding to the larger accumulative value. The invention filters and removes interference of point edges by edges which are connected and detected, and eliminates strong interference in the scene with multiple parallel lane lines by finding the maximum accumulative direction.

A method is provided for separating or dividing strengthened glass articles, particularly strengthened glass sheets, into at least two pieces, one of which has a predetermined shape and/or dimension. A flaw is initiated in the glass at a depth that is greater than the depth of the strengthened surface layer of the glass, and a vent extending from the flaw is created at a vent depth that is greater than the depth of and outside the strengthened surface layer to at least partially separate the glass. In one embodiment, the vent is generated by treating the glass with a laser to heat the glass to a temperature in a range from about 50 DEG C below the strain point of the glass up to a temperature between the strain point and the anneal point of the glass. A glass article having at least one strengthened surface and at least one edge having an average edge strength of at least 200 MPa is also described.

A cutting insert for milling operations, such as, face milling, slot milling, plunge milling, and ramping operations. The cutting insert exhibits a combination of favorable cutting edge strength, and unique cutting edge geometry, thus, allowing milling operations at relatively high feed rates. The cutting insert includes at least four cutting edges, wherein at least one of the cutting edges is a convex cutting edge. Certain embodiments of square cutting inserts will have four convex cutting edges which may be connected by nose corners. The convex cutting edge may comprise at least one of a circular arc, a portion of an ellipse, a portion of a parabola, a multi-segment spline curve, a straight line, or combinations of these. Wherein the convex cutting edge comprises a circular arc, the circular arc may have a radius greater than or equal to two times a radius of the largest circle that may be inscribed on the top surface.

There is provided a data compression method for increasing a reduction ratio, while keeping a sufficient characteristic amount, to seek speeding up of processing, the method being for compressing image data in pattern model positioning in image processing of searching out of an image to be searched and positioning a pattern model corresponding to a pre-registered image. The method includes the steps of computing an edge strength image having edge strength information and an edge angle image having edge angle information with respect to each pixel constituting an image; transforming the edge angle image of each pixel into an edge angle bit image expressed by an edge angle bit indicating an angle with a pre-defined fixed width; and compressing the edge angle bit image to create an edge angle bit reduced image by taking a sum with respect to each edge angle bit.

Perceptual statistics may be used to compute importance maps that indicate which regions of a video frame are important to the human visual system. Importance maps may be applied to the video encoding process to enhance the quality of encoded bitstreams. The temporal contrast sensitivity function (TCSF) may be computed from the encoder's motion vectors. Motion vector quality metrics may be used to construct a true motion vector map (TMVM) that can be used to refine the TCSF. Spatial complexity maps (SCMs) can be calculated from metrics such as block variance, block luminance, SSIM, and edge strength, and the SCMs can be combined with the TCSF to obtain a unified importance map. Importance maps may be used to improve encoding by modifying the criterion for selecting optimum encoding solutions or by modifying the quantization for each target block to be encoded.

The invention discloses a straight line detection method and device and belongs to the field of image processing. The straight line detection method comprises the steps that gradient histogram feature sets of all pixel points in an image are obtained, wherein the gradient histogram feature sets are used for reflecting straight line features of the part where the pixel points exist; according to the gradient histogram feature sets of all the pixel points, at least one alternative direction of a straight line to be detected is determined; according to the alternative direction, the accurate direction and position of the straight line to be detected are determined. The problems that according to a straight line detection method in the prior art, when edge strength is weak or noise interference exists, a straight line is broken, and a detection result is inaccurate are solved. According to the straight line detection method, Hough transfom is not adopted, and image binaryzation is not needed, so that the influence of errors produced by binaryzation is sufficiently avoided, and straight line detection accuracy is improved.

An edge narrowing method for a display panel is disclosed. The display panel includes a first substrate, a second substrate, a sealant and a light-shielding area. The sealant is disposed between the first substrate and the second substrate. The light-shielding area is disposed between the first substrate and the sealant. The method includes the steps of providing the display panel, a grinding apparatus and a polishing apparatus; tilting the display panel so that the first substrate and a grinding member of the grinding apparatus have a first grinding angle therebetween; grinding the first substrate and the light-shielding area with the grinding apparatus while the display panel is tilted at the first grinding angle, thereby forming a first grinding end surface; stopping grinding of the first substrate and the light-shielding area when the width of the light-shielding area is between 0.35 and 1 mm; and polishing the first grinding end surface with the polishing apparatus to form a first end surface.

In an image processing apparatus for converting resolution of an image, a weight for a statistical diagonal interpolation pixel is set based on a slope having the statistically highest confidence level, the statistical diagonal interpolation pixel is combined with a different pixel interpolated by a different interpolation so as to generate a combined interpolated pixel based on the set weight, information is generated for quantitatively evaluating the strength of an edge and the strength of texture, a texture mixed pixel is generated by combining the combined interpolated pixel with a texture pixel generated by performing texture filtering on the pixel 6f interest based on the texture strength information, and an edge mixed pixel is generated as a pixel at the position of interest by combining an edge pixel generated by performing filtering on the pixel of interest with the generated texture mixed pixel based on the edge strength information.

A method of preparing an edge-strengthened article comprises polishing of an edge of an article having a first edge strength using magnetorheological finishing, wherein after the polishing the article has a second edge strength and the second edge strength is greater than the first edge strength.

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.

The invention discloses a method for encoding a range image in a stereo-television system. The method comprises the following steps: 1) the edge strength value of each pixel in the range image is calculated, and then the edge strength value of each macroblock is calculated based on the edge strength value of the pixel point; 2) all the macroblocks in the range image are divided into three types, i.e., strong edge macroblocks, medium edge macroblocks and weak edge macroblocks; 3) the lower quantification parameter is configured for the strong edge macroblocks, the medium quantification parameter is configured for the middling edge macroblocks and the higher quantification parameter is configured for the weak edge macroblocks; and 4) the range image is encoded by utilizing the video coding technique based on the quantification parameter configured for all the macroblocks in the range image. The lower quantification parameter is configured for the strong edge macroblocks, so that the edge information of the range image is effectively protected and the quality of the free viewport image description of the client is improved.

An edge extraction device can reduce detected noise other than a contour of an article, and can improve the operability. The edge extraction device includes: an edge detection section which calculates edge strength from an image and detects an edge; a labeling processing section which performs labeling processing on the edge detected by the edge detection section and calculates a length of the edge; an edge enhancement processing section which performs edge enhancement processing by using a value corresponding to the length of the edge, which is calculated by the labeling processing section, and the edge strength, which is calculated by the edge detection; and an edge extraction section which performs binarization processing on a value of the image, which is enhanced by the edge enhancement processing section, by using an adjustable threshold value, and extracts a predetermined edge.

A method and apparatus for ringing artifacts reduction for compressed video signals. The method includes receiving luma data to the digital signal processor, calculating sum of gradient of the luma data; calculating SAD of the luma data; performing pixel classification based of the calculated SAD and sum of gradient, performing erosion on a detected edge pixel indicator on a detected flat pixel indicators, determining at least one of the strength or weakness of the an edge based on the determined edge erosion, performing horizontal dilation on the detected edge pixel indicators and edge strength; and performing at least one of sigma or bilateral filtering to the luma data according to the detected edge pixel indicator, flat pixel indicator, edge strength, the number of very flat pixel in the block.

[PROBLEM TO BE SOLVED] It is an object of the present invention to provide an image processing apparatus capable of obtaining a sharp image having less noise.

[MEANS FOR SOLVING THE PROBLEM] Herein discloses is an image processing apparatus, comprising a horizontal edge strength calculating unit 22 for calculating an edge strength along a horizontal direction of a concerned pixel and pixels respectively disposed in left and right sides of said concerned pixel, a prefilter 24 for carrying out a filter processing based on the edge strength along the horizontal direction, and selectively performing noise reduction and edge enhancement, a vertical edge strength calculating unit 23 for calculating an edge strength along a vertical direction of the concerned pixel and pixels respectively disposed in upper and lower sides of said concerned pixel, and a prefilter 25 for carrying out a filter processing based on the edge strength along the vertical direction, and selectively performing noise reduction and edge enhancement, thereby enabling to sharpen image data in the vicinity of the concerned pixel respectively along upper and lower, left and right directions, and therefore obtain an image having less noises as well as sharp for edge directions.

The invention provides a high-resolution SAR image classification method based on sparse features and conditional random fields. The method mainly solves the problems of low classification precision and non-accurate boundary retention in complicated scenes in the prior art. The method comprises the steps of: firstly, inputting high-resolution SAR images, selecting images to build a training data block set, and training system parameters of a sparse feature extraction algorithm; secondly, extracting SAR image block sparse features and training a logistics classifier to obtain the classificationposterior probability of the images and build a univariate potential energy function; thirdly, building a bivariate potential energy function by using a boundary constraint map obtained after fusionof a binary edge partition map and an edge strength map; forming a complete full connection conditional random field model by using the univariate potential energy function and the bivariate potentialenergy function and performing reasoning on the model to obtain a classification result. The method increases the classification precision of complicated scenes and edge details of high-resolution SAR images and can be used for SAR image terrain classification.