67 results about "Diffusion filter" patented technology

The invention relates to a kind of method to matching the shape of persons' faces based on Shape Context. At first, preprocessing with the image pyramid and diffusion-filtering technology; then abstracting the boundary-outline information; carrying on the logarithmic coordinate transformation of the abstracted boundary-outline information to get bar chart of the logarithmic coordinate; calculating the value of Cs to get all the phase match points; calculating the value of the degree of approximation to judge the shape matching. The invention is characterized in simplicity, accuracy, being economical, expandability and so on, so the person-face shape matching can be used for entrance-exit control, safe verification, safe-guard monitoring, searching criminals and so on.

The invention discloses a guidance infrared small target tracking method based on self-adaption manifold particle filters. The method comprises a image background suppression proceeding which is achieved by using a bi-direction diffusion filter background suppression algorithm of a Facet image model, a small target tracking based on a self-adaption manifold particle filter algorithm and target detecting. The guidance infrared small target tracking method based on the self-adaption manifold particle filters has the advantages that real-time, robustness and filtering precision of the algorithm are improved.

An exit sign comprising a housing and a plurality of LEDs that activates to produce yellow color light. The plurality of LEDs are mounted in the housing. Means for passing light from the plurality of LEDs in the form of indicia symbolizing an exit enables viewing by an observer, such means includes a stencil having four independent letters forming the word EXIT. DC circuitry is in operative electrical connection with the plurality of LEDs. A source of AC electrical power activates the DC circuitry. The plurality of LEDs can be both red color output LEDs and green color output LEDs, or the plurality of LEDs can be bicolor red and green LEDs having the capability of producing both red light and green light. The red light and green light are additively mixed to produce yellow light. In the alternative, the plurality of LEDs can be yellow color output LEDs or the plurality of LEDs can be white color output LEDs. The color light from the plurality of LEDs pass through either a red color diffusion filter to produce red light indicia, or a green color diffusion filter to produce green light indicia. An emergency power backup battery is connected to the plurality of LEDs. Means for producing emergency light is optional.

A method is provided for forming a microstructure with an interfacial oxide layer by using a diffusion filter layer to control the oxidation properties of a substrate associated with formation of a high-k layer into the microstructure. The diffusion filter layer controls the oxidation of the surface. The interfacial oxide layer can be formed during an oxidation process that is carried out following deposition of a high-k layer onto the diffusion filter layer, or during deposition of a high-k layer onto the diffusion filter layer.

A method for suppressing noise in a diagnostic 3-D image, executed at least in part on a logic processor, captures, at each of a number of projection angles, 2-D image projection data, wherein each 2-D image projection has a central pixel and arranges the 2-D image projection data to form a 3-D data set. Each of the 2-D image projections is processed by performing a diffusion filtering process that obtains a homogeneity value for the 3-D data set, generates a diffusion conductance function according to an intensity gradient between adjacent digital image elements, and applies the diffusion filtering process to digital image elements according to the obtained homogeneity value, the generated diffusion conductance function, and a weighting value that relates to the distance of each pixel in the projection from the central pixel. The diagnostic 3-D image is reconstructed from the processed 2-D image projections.

The invention discloses an image de-noising method based on bidirectional enhanced diffusion filtering, which simplifies a diffusion equation. The method comprises the steps of establishing a bidirectional diffusion coefficient so that a model can implement a bidirectional process of smoothing and sharpening in the diffusion process, enhancing an image in order to further improve the smoothing and sharpening strength, performing wavelet transform to enhance the overall outline of the image and weaken texture details of the image, then adaptively designing and improving a gradient threshold to automatically control the gradient threshold according to the maximum gray value and the iterative times of the image and further retain edge and detail features of the image, finally, simulating the purposed model, and performing simulation verification on the method by using MATLAB software. The method can be used for removing image noise and protecting detail information of edge, texture and the like, greatly improves the peak signal to noise ratio, has more excellent de-noising performance, and has a good application prospect.

This disclosure relates to decreasing the required buffer memory capacity while reducing the impact of an arithmetic error in error diffusion processing. A quantization circuit (4) quantizes input image data and outputs an output code. The quantization error generated in the quantization circuit (4) is calculated by an inverse quantization circuit (5) and subtracter (6). The calculated quantization error is stored in a buffer (8). Since the buffer (8) only needs to have a size capable of storing the quantization error, the size can be made smaller than before. A diffusion filter (9) diffuses the quantization error using a quantization error or the like, which is stored in the buffer (8). A latch (3) and bit connector (1) can usefully reduce the impact of an arithmetic error in error diffusion processing on the next input image data.

Methods and systems for extracting formation properties from formation logging data is disclosed. A method includes obtaining a deconvolution filter; and processing the formation logging data using the deconvolution filter to produce estimates of the formation properties. The estimates of the formation properties may be further processed with a diffusion filter, which may be an anisotropic diffusion filter. A system for extracting formation properties from formation logging data includes a central processing unit and a memory, wherein the memory stores a program having instructions for performing a method that includes designing a deconvolution filter; and processing the formation logging data using the deconvolution filter to produce estimates of the formation properties.

The invention relates to a deconvolution method which suppresses noise and takes reflection coefficient recovery as a target while improving earthquake recording resolution, and especially relates to a time-varying wavelet based deconvolution method for frequency division processing for the purpose of solving the problems of reduced signal-to-noise ratio and unstable solution despite resolution improvement by use of a conventional deconvolution method. The method comprises the following steps: extracting time-varying wavelets in an earthquake recording by use of a well control multi-channel statistical autocorrelation method; extracting high and low frequency operators according to well data, for constructing high and low frequency information corresponding to an original earthquake recording as constraint conditions; performing diffusion filtering processing on frequency division information; and performing simultaneous deconvolution on the original earthquake recording and the high and low frequency information. By using the method provided by the invention, earthquake data and well logging data are integratedly combined, uncontrollable deconvolution factors extracted by use of a conventional deconvolution method can be avoided, resolution is effectively improved while the noise is suppressed, the attenuation of earthquake signals is taken into consideration, and the time domain point spectrum whitening function is realized.

The invention discloses an intelligent counting method of interference fringes. The intelligent counting method comprises the following specific steps of: filtering random impulse noise from the data acquired by a linear array charge coupled device (CCD) sensor by adopting a self-adapting median diffusion filtering algorithm; reducing Gaussian noise by using a non-linear diffusion filtering algorithm; determining the reference range of effective data of the interference fringes, wherein the maximum gray value point Max, the minimum gray value point Min and the threshold value T are calculated, and the threshold value T refers to the point of which the gray value changes most in the determined reference range of the effective data; and performing second order derivation on a curve which is determined by an effective data range, and judging the changing state of the interference fringes according to second order derivative numerical value changes so as to realize automatic counting of the interference rings. By using the method, a diffusion median filtering algorithm is used for performing filtering denoising on the acquired data, the changes of the interference rings are further judged by judging the second order derivative numerical value changes in the effective reference range in real time, and the counting stability is promoted.

There is provided a surface light-emitting device capable of preventing an increase in power consumption even if the length of the light-emitting surface of the surface light-emitting device is greater than the width, and capable of emitting light uniformly without decreasing the brightness of the light-emitting surface nor increasing the height of the light guiding space. In the present surface light-emitting device, the incident plane (201) is one of two sides of the light guiding space (20) in opposition in the longitudinal direction. The light-transmitting plate (4) includes a diffusion filter (6) which covers a specific area of the surface of the light-transmitting plate (4) near the light source (3). The remaining area of the surface of the light-transmitting plate at a distance from the light source (3) is not covered with the diffusion filter (6). The diffusion filter (6) is formed of a laminate in which a plurality of diffuse transmission films are layered. The number of diffuse transmission film (6) layers is highest in the area closest to the light source (3) so that the light transmittance is increased as the distance from the light source (3) increases due to a decrease in the diffusion of light, and the number is gradually decreased as the distance from the light source (3) increases.

A method is provided for forming an ultra-shallow boron doping region in a semiconductor device. The method includes depositing a diffusion filter layer on a substrate, the diffusion filter containing a boron nitride layer, a boron oxynitride layer, a silicon nitride layer, or a silicon oxynitride layer, and depositing a boron dopant layer on the diffusion filter layer, the boron dopant layer containing boron oxide, boron oxynitride, or a combination thereof, with the proviso that the diffusion filter layer and the boron dopant layer do not contain the same material. The method further includes heat-treating the substrate to form the ultra-shallow boron dopant region in the substrate by controlled diffusion of boron from the boron dopant layer through the diffusion filter layer and into the substrate.

The invention provides an ultrasonic image processing method and a processing system. The method comprises the steps that S1 an original ultrasonic image is acquired; S2 the original ultrasonic image is subjected to non-linear coherence diffusion filtering denoising edge-preserving pre-processing to acquire a pre-processed ultrasonic image; S3 the edge of the pre-processed ultrasonic image and the non-edge region are enhanced to generate an enhanced ultrasonic image; and S4 the enhanced ultrasonic image is subjected to sharpening and deblurring to produce a final desired ultrasonic image. According to the invention, the image quality can be obviously improved, and especially the effects of noise removing and edge enhancing are obvious; and the algorithm is very fast and can be widely applied in various situations where the ultrasonic image needs to be processed in real time.

The invention relates to a desert area seismic exploration denoising method based on self-adaptive resharpening diffusion, which belongs to a noise suppression method. By means of structure tensor, adiffusion coefficient of resharpening diffusion filtering in the gradient direction is constructed so as to non-linearly vary with the degree of consistency of seismic exploration data, and thereby the diffusion degrees of the signal region and noise region of the seismic exploration data are controlled; on the basis, the feature vector of the structure tensor is further utilized to regulate the diffusion coefficient in the consistent direction, so that the intensity of diffusion can vary with the change of different seismic areas, and thereby the retention of resharpening diffusion on amplitudes and structures of events is enhanced. A synthetic data and actual desert area record processing result indicates that the method can effectively suppress random desert noise with similar waveformsand bands as seismic exploration signals, moreover, the retention effect on seismic exploration signals is improved, the recovery of steep events is clearer and more accurate in particular, and the method has practicability and effectiveness.

The invention provides a frequency division diffusion filter fault strengthening method based on optimized Morlet wavelet. The method comprises the following steps: converting post-stack seismic datainto an MATLAB identifiable data format; carrying out spectral analysis on seismic data and extracting the wavelet; improving a Morlet wavelet generating function and constructing a Morlet wavelet function composition; carrying out wavelet frequency division processing by utilizing the optimized Morlet wavelet; calculating a structural tensor of the post-stack seismic data and further constructingnew fault factors based on the structural tensor; under the protection of the structural tensor, carrying out anisotropic diffusion filter on frequency division seismic data; and carrying out waveletinverse transformation on a frequency division filter result and reconstructing to obtain improved signal-to-noise ratio and resolution ratio and protect the seismic data of fault information. The method has the advantages that the resolution ratio of the seismic data is improved while denoising and edge protecting are realized, so that the low-order fault recognition ability of the seismic datais improved.

The invention relates to a TV flow based self-adaptive diffusion filtering image denoising algorithm. The TV flow based self-adaptive diffusion filtering image denoising algorithm comprises the steps of 1 representing a TV flow diffusion equation in an internal coordinate mode, 2 simplifying the TV flow diffusion equation in the step 1, 3 establishing a diffusion filtering algorithm based on morphology, 4 establishing a self-adaptive diffusion process model (shown in the description), 5 establishing a fidelity term (shown in the description) and 6 adopting a central difference numerical algorithm to perform further processing. By means of the TV flow based self-adaptive diffusion filtering image denoising algorithm, clearer images approximating to original images can be processed, and the problem that a traditional algorithm is low in timeliness and high in complex and excessive smoothness and insufficient smoothness phenomena often exist in the processing process is solved.

A fixed code book (FCB) search device simplifies an error minimizing process and reduces a calculation amount so as to prevent deterioration of a coding performance. The FCB search device (100) includes: a pulse shape convolution inverse filter (104) having an inverse feature of a pulse diffusion filter and supplied with an ideal residual signal; a pulse candidate preparatory selection unit (105) for pre-selecting a plurality of pulse candidates from the ideal residual signal to which the inverse filter is applied; and a pulse candidate final selection unit (109) for finally selecting one pulse from the selected candidates. By using this configuration, search is made for an algebra code book to which the pulse diffusion is applied.

The invention provides a seismic horizon tracking preprocessing method based on a fractional derivative, which belongs to geophysical exploration field for petroleum and natural gas. The seismic horizon tracking preprocessing method comprises the following steps: (1) selecting a central pixel point of a seismic image, and then determining an order of a fractional differential; (2) selecting a filtering direction of an isotropy diffusion; (3) performing same-phase axis continuous enhancement on a central pixel point; (4) repeating the steps (1) to (3) on a next central pixel point until all pixel points are processed; (5) performing isotropy diffusion filtering processing; and (6) adjusting vertical resolution of the seismic image, and accordingly seismic horizon tracking preprocessing is finished. Through the method of the invention, transverse-direction continuity and vertical-direction resolution of a lineups can be controlled simultaneously. The preprocessing method for automatic tracking of seismic horizon has advantages of: simple process, high calculating efficiency and obvious effect.

The invention discloses a method for preparing a crystalline silicon dual-emitter back knot and back contact solar cell, which comprises the steps that boron ion implantation is conducted on the whole back surface of a silicon wafer to form a back surface emitting area; an alkali corrosion barrier layer is deposited on the back surface; a BSF (Back Surface Field) window is opened on a back surface barrier layer; the alkali corrosion barrier layer at the BSF window is removed by corrosion; a boron implantation layer at the BSF window is removed by alkali corrosion; a thin diffusion filter layer is deposited on the front surface of the silicon wafer; double-surfaced phosphorus is diffused; a BSF and an FSF (Front Surface Field) are formed simultaneously; the back surface alkali corrosion barrier layer and the front surface diffusion filter layer are removed; the boron ion implantation is activated; a front surface decreasing layer and a back surface passivation layer are prepared; a back surface emitting area electrode and a BSF electrode are prepared; and ohmic contact of the electrodes is achieved by sintering. According to the method, a technique is simplified; the performance is improved; and the method has very great benefits to an industrial prospect of the dual-emitter back knot and back contact cell.