84 results about "Directional filtering" patented technology

A method of post-processing decompressed images includes identification of the direction of an image edge in a pixel block of the image and filtering applied along the boundary of the block in a direction substantially parallel to the detected image edge. Pixels are selected for filtering on the basis of the quantization parameter of the block of which they are members, the relative difference between pixels adjacent to the block boundary, and significant changes value of pixels in a filtering segment. Filtering is applied parallel to the detected edge to protect the sharpness of the edge while reducing or eliminating blocking and ringing artifacts. A method of separately post-processing fields of interlaced video eliminating complications arising from separate compression of the fields is also disclosed.

The invention provides an infrared image and visible image fusion method based on guide filtering. The method comprises the steps of: firstly, expanding the guide filtering to multiple scales, and performing multi-scale decomposition on an infrared image and a visible image by using the multi-scale guide filtering, so as to obtain a low-frequency subband and a high-frequency subband; performing nonsubsampled directional filtering on the high-frequency subband, so as to obtain a directional subband coefficient; applying different fusion rules to the directional subband coefficient and a low-frequency subband coefficient, so as to obtain the corresponding directional subband coefficient and the low-frequency subband coefficient after fusion, and finally, performing directional filtering reconstruction and multi-scale reverse transformation based on the guide filtering, so as to obtain a final fusion image. According to a fusion result obtained by adopting the method, the edge and thermal radiation characteristics of an infrared image object are preferably kept, scene details of the visible image can be preferably reserved, and the information content of a fusion image is increased, so that the edge and details of the fusion image are enriched.

The invention relates to the field of fingerprint image processing, in particular to a fingerprint image orientation enhancement method. The technical proposal adopted in the invention comprises the following steps of: 1) adding a step of Gabor pre-filtering, adjusting filtering parameters again after conducting preliminary directional filtering enhancement on the original image, and conducting secondary accurate Gabor filtering; and 2) adopting a self-adaptive measure of a Gabor filter transmission band to calculate respective numerical characteristics of the original fingerprint image and the pre-filtered fingerprint image and dynamically adjust the width of the filter transmission band. The fingerprint image orientation enhancement method has the beneficial effects: 1) the method improves the defects of the prior art that filtering is only implemented for once, the filtering parameter is an fixed experience value, and the filtering effect is too rough; 2) fingerprint ridges obviously separate, the edges of the ridges are smooth, the noise points are removed from the fingerprint ridges, and the original features such as scar and the like are kept simultaneously; and 3) compared with the prior art, the uniformity and definition of the fingerprint ridges, the capability of recovering the broken ridges and the like are remarkably improved.

A method and apparatus for deinterlacing a picture is disclosed. The method generally includes the steps of (A) calculating a plurality of differences among a plurality of current samples from a current field of the picture, the differences being calculated along a plurality of line segments at a plurality of angles proximate a particular position between two field lines from the current filed, (B) generating a first sample at the particular position by vertical filtering the current field in response to the differences indicating that the particular position is a non-edge position in the picture and (C) generating a second sample at the particular position by directional filtering the current field in response to the differences indicating that the particular position is an edge position in the picture.

The invention discloses an all-angle and rapid fingerprint recognition method that makes recognition according to fingerprint details: a. image preprocessing: using local gray level variance method to segment out the area of the fingerprint image; using a directional filtering method to realize binaryzation of fingers in the area of the fingerprint image; using an improved blend OPTA algorithm to make refining treatment to the binary image; b. fingerprint feature extraction: using Poincare method to test and make statistic of the number of core points of fingerprint to make sure of the reference point of fingerprint and the reference direction of fingerprint, and to extract the information of fingerprint feature point in the thinned fingerprint image; c. feature matching: taking the reference point as the point of origin, and taking the reference direction as the principal axis; using a polar coordinate to signify the fingerprint feature point axis, which is taken as characteristic data of template fingerprints; matching the data with the characteristic data of master plate fingerprints to judge whether to anastomose. The novel method can effectively restrain the influence brought from the parallel movement and rotation of the fingerprint image, and can rapidly make out judgement, thereby being suitable for a plurality of running platforms such as large-scale computers, DPS, embedded systems, satisfying the requirements on various personal identification occasions, and having broad market prospect and extremely high economic value.

Subdivision per basic color channels of grey level data generated by a color sensor is no longer required according to a novel color interpolation method of an image acquired by a digital color sensor generating grey levels for each image pixel as a function of the filter applied to the sensor by interpolating the values of missing colors of each image pixel for generating triplets or pairs of values of primary colors or complementary base hues for each image pixel. The method may include calculating spatial variation gradients of primary colors or complementary base hues for each image pixel and storing the information of directional variation of primary color or complementary base hue in look-up tables pertaining to each pixel. The method may further include interpolating color values of each image pixel considering the directional variation information of the respective values of primary colors or complementary hues stored in the respective look-up tables of the pixel for generating the multiple distinct values for each image pixel.

The invention discloses a system and a treatment method for recovering properties of waste transformer oil. The system comprises an oil supplying pump, a vacuum treatment device, an adsorption regeneration device, a secondary fine filtering device and an electric control cabinet. The system integration is realized by integrating a rough filtering device, the secondary fine filtering device, a heating and temperature rising device, the vacuum treatment device and the adsorption regeneration device, and the integrated system can be used for carrying out rough filtering and secondary fine filtering on the waste transformer oil, dehydrating, degassing and filtering in vacuum, adsorbing, regenerating and filtering, and can be used for carrying out all-directional filtering treatment on the waste transformer oil, so that the cleanness, moisture content, gas content, and indexes including an acid value, dielectric lose, pressure resistance and the like of the waste transformer oil reach new oil standards; the treatment method for recovering the properties of the waste transformer oil, provided by the invention, can be used for carrying out deep treatment by selecting a certain treatment manner according to ageing degrees and impurity components of the waste transformer oil; various treatment manners are integrated through switching working modes, so that the property recovery of the waste transformer oil is realized very well.

An imaging method is for a multi-slice spiral CT scan with 3D back projection. Use is made, for the reconstruction of the absorption value of at least one voxel, of the measured and filtered data that are produced by rays which penetrate the at least one voxel. A CT unit is further used to carry out the method. In the method, the filtering of the data, required for the reconstruction, in the image of the virtual detector is performed in the direction of the projection of spiral segments imaged thereon which are produced by the spiral scanning over a prescribed angular range. The CT unit includes a device for carrying out directional filtering of this type.

A method is provided for enhancing edge detection for edges of irregular surfaces in a machine vision inspection system. The inspection system comprises an edge feature video tool configured to determine profile data for an edge feature based on a plurality of differently focused images. An edge-referenced alignment compensation is provided related to substantially minimizing a respective offset amount of the edge feature at respective locations along a directional filtering direction used for directionally filtering the plurality of differently focused images prior to determining the profile data for the edge feature. In some embodiments, the plurality of differently focused images may be directionally filtered using a directional filtering sub region (DFS) defined relative to a point corresponding to a PFF basis pixel location in each of the plurality of images, each DFS having a relatively longer dimension along the directional filtering direction.

The invention discloses an image dejagging system comprising an edge detection unit, a directional filter, a small angular directional filter, a directional filter fusion unit, and a results fusion unit. The edge detection unit outputs edge directions and confidences of pixels according to an input image; the directional filter outputs directional filtering results according to the input image and the edge directions of the pixels; the small angular directional filter outputs small angular directional filtering results according to the input image and the edge directions of the pixels; the directional filter fusion unit weights and combines the output results of the directional filter and the output results of the small angular directional filter according to the edge directions of the pixels and outputs weighting and combining results of directional filtering; the results fusion unit outputs an optimized image according to the edge confidences of the pixels, the input image and the weighting and combining results of directional filtering. The image dejagging system has the advantages that directional filtering of any direction can be well treated and low-angle jags can be well treated.

The invention discloses a method for detecting over-water bridges from remote sensing images, belongs to the technical field of image processing, and mainly solves the problem of the limited application range of the prior art. The method comprises the following steps: separating a complete communicated water area from the remote sensing image; performing image enhancement on the obtained water area based on directional filtering, and calculating directions of all pixels in the water area; designing corresponding templates according to characteristics and directions of different bridges, extracting features based on the templates, selecting a plurality of remote sensing images to acquire a bridge classifier based on the remote sensing images by a training modeling method, and acquiring an initial bridge detection result by the bridge classifier after performing template matching and feature extraction on the images to be detected; and eliminating noise from the initial detection result to acquire the final result of the bridge detection. The method has the advantage of good detection performance without complicated preprocessing of images, and is applicable to accurate detection of the over-water bridge targets in the remote sensing images.

The invention discloses an image compression secure coding method based on multidirectional sparse representation, comprising the following steps of: performing discrete dual-tree wavelet transform on an image and then performing directional filtering on each obtained high-frequency sub-band to obtain fine image directional sparse representation; performing rarefaction process on an obtained directional sub-band coefficient by using a noise shaping technology; interleaving the coefficients of each layer to ensure that the sub-band coefficients of neighbor layers have a parent child relation, and then performing quantitative coding on the coefficients by using SPIHT (Set Partitioning in Hierarchical Trees); and finally encrypting the coefficient symbols in a code stream in an XOR (Exclusive OR) manner and encrypting other partial code streams by using random arithmetic coding. As the code stream obtained by coding is encrypted by using the random arithmetic coding, the encryption efficiency is high, the effect is good, the security is high and no influence is brought to the image compression performance. The high-frequency components of the image are decomposed by using a directional filter, and therefore the directional representation is more flexible, sparser image representation is obtained, the image coding compression process is favored and the decoded image has better objective quality and subjective effect.

The invention provides a femtosecond optical Kerr gate gated imaging device and method based on directional filtering. Light paths of the imaging device are divided into a detecting light path and a pumping light path. An object to be measured, a first convex lens, an optical Kerr gate composed of a polarizer, optical Kerr mediums and an analyzer, a second convex lens and a CCD are sequentially arranged on the detecting light path. The requirements of a 4f system are met. An optics delay line, a half wave plate and a space shaping device are sequentially arranged on the pumping light path. The imaging method includes the steps that femtosecond pulse lasers are changed into two beams through a beam splitter, and femtosecond detection pulse light passes the object to be detected and then is focused and enters the optical Kerr mediums in an incident mode; after femtosecond pumping pulse light opens the optical Kerr gate, components of information, carried in the femtosecond detection pulse light, of the object to be detected are instantly gated, finally, the components of the information reach the CCD, and a high-contrast-ratio image of the object to be detected is obtained. The femtosecond optical Kerr gate gated imaging device and method based on directional filtering have the advantages that cost is low, the light paths are simple and convenient to adjust, and optical Kerr gate gating and recognition of a characteristic structure of the object to be detected can be achieved at the same time.

The invention provides a method and a device for recognizing a low-grade fault of a deep tight sandstone gas reservoir. The method comprises steps: frequency division processing is carried out on post stack seismic data of a to-be-recognized low-grade fault, and dominant frequency band seismic data capable of highlighting the low-grade fault can be acquired; directional filtering processing is carried out on the dominant frequency band seismic data to acquire seismic data in four main directions; according to the seismic data in the main directions, an ant swarm algorithm is adopted to calculate and acquire a tracing attribute volume in each main direction; and fault traces of the fault in each main direction are extracted, and the tracing attribute volume in each direction is combined to acquire a system diagram. Through carrying out frequency division processing and filtering processing on the post stack seismic data with a relatively poor quality and adopting the ant swarm algorithm again for recalculation on the basis of the original ant swarm, accurate fault traces are extracted, the tracing attribute volume in each direction is combined to acquire the system diagram, the method and the device of the invention are applied to seismic data with various mechanical properties and frequencies, and recognition reliability on the low-grade fault can be effectively improved.

The invention discloses a low-dose computed tomography (CT) image processing method based on wavelet space directional filtering, belonging to the technical field of computerized tomography. The method is as follows: firstly, static wavelet transform is used for carrying out single-layer decomposition on the low-dose CT image to be processed, then high-frequency detailed images in the horizontal, vertical and opposite angle directions are subjected to one-dimensional nonlinear diffusion filtering in the vertical and horizontal directions respectively so as to restrain the information intensity of star-strip artifacts in high-frequency detailed images in different directions, and then inverse static wavelet transform is conducted according to the processed high-frequency detailed images in the horizontal, vertical and opposite angle directions and the original low-frequency images for rebuilding to obtain artifacts so as to obtain restrained CT images, finally, the image is further processed by using the existing large adjacent region weighted average noise suppression method. By utilizing the method, the star-strip artifacts and noise in the low-dose CT image can be effectively restrained, and the quality of the low-dose CT image can be improved, so that the low dose CT image meets the quality requirements of clinical diagnosis.

The invention provides a multi-flow-directional filtering device used for a range hood. A lower filtering layer comprises a plurality of lower filtering units which are arranged side by side at intervals in a left and right direction. An upper filtering layer comprises a plurality of upper filtering units which are arranged side by side at intervals in the left and right direction. The lower filtering units and the upper filtering units are arranged in a manner of being oppositely buckled with each other. The multi-flow-directional filtering device is characterized in that the bottoms of the lower filtering units are closed, the two sides of the lower filtering units are provided with first extension walls extending upwards from the bottoms, first notches arranged at intervals in a front and rear direction are formed in the first extension walls, the tops of the upper filtering units are closed, the two sides of the upper filtering units are provided with second extension walls extending downwards from the tops, and second notches arranged at intervals in the front and rear direction are formed in the second extension walls. The multi-flow-directional filtering device has the advantages that after passing the first notches and the second notches, which are arranged on the two side walls of the lower filtering units and the upper filtering units, soot can be turned and collided for multiple times when flows across the filtering device, so that the multi-channel multi-flow-directional filtering of the soot is realized, and the soot filtering effect is effectively improved.

Systems and methods for performing source separation are provided. Source separation is performed using a composite signal and a signal dictionary. The composite signal is a mixture of sources received by a sensor. The signal dictionary is a database of filtered basis functions that are formed by the application of directional filters. The directional filters approximate how a particular source will be received by the sensor when the source originates from a particular location. Each source can be characterized by a coefficient and a filtered basis function. The coefficients are unknown when the sources are received by the sensor, but can be estimated using the composite signal and the signal dictionary. Various ones of the sources may be selectively reconstructed or separated using the estimated value of the coefficients.

The invention discloses a low-complexity video post processing method based on directional wave filtering and a self-adaptive boundary decision, and a system thereof. According to different conditions inside a block and outside the block, different methods are used for processing and an effective algorithm for differentiating the condition of the edge of the block is disclosed. Aiming at different conditions of the edge of the block, a proper wave filter is used for wave filtering, thus a blocking effect can be eliminated and the video quality can be improved. Furthermore, the algorithm has low complexity and is suitably realized by VLSI hardware.

A motion adaptive deinterlacer (MADI) receives two pairs of interlaced fields from a current frame and a reference frame of an input video. The MADI deinterlacer filters noise of the received interlaced fields and detects edges of the received interlaced fields. From the detected edges, the MADI deinterlacer spatially interpolates an output pixel using directional filtering. The MADI deinterlacer also detects motion of the output pixel and calculates temporal constraints of the output pixel based on same parity field difference and / or opposite parity field difference. Based on the temporal interpolation and spatial interpolation of the output pixel, the MADI deinterlacer blends the temporal and spatial interpolation of the output pixel to generate an output pixel in progressive format.

The invention provides a single-observer automatic identification method of multi-target tracks, comprising the steps of (1) image addition, (2) targets connection, (3) directional filtering and (4) quantity filtering. The method of the invention is advantageous over the prior art in that: interpretation experiences of operators are summarized and used in a single-observer automatic identification of multi-target tracks, which means adding captured images and identifying authenticity of the tracks in a manner of combining the directional filtering and the quantity filtering, thereby avoiding the use of prediction models employed in other methods and providing a better adaptability in image interpretation, so that the ingle-observer automatic identification of multi-target tracks is carried out without a manual intervention in interpretation procedure.

The invention discloses a rapid fuzzy matching method used in high-speed railway catenary rod insulator adverse-state detection. Aiming at problems of electrified railway catenary insulator ceramic bottle breakage fault detections, insulator characteristic quantities are obtained by anisotropic directional filtering upon comprehensive vehicle inspection field images by using second-generation curvelet. For solving a problem that the ceramic bottle characteristic coefficient distributions of different insulators are irregular, a method for balancing curvelet coefficients by utilizing directional morphological closing operation is provided. For solving a problem of intelligent identification, a method of dimension reduction upon curvelet coefficient matrix by utilizing an energy band method is provided. With the method provided by the invention, insulator position information can be obtained, and insulator fault can be determined. As a result of experiments, with the method, global analysis can be directly carried out upon images shot in field. Relatively high accuracies are achieved in insulator positioning in the images, and in insulator fault determinations. Therefore, a novel means is provided for electrified railway insulation reliability detections.

The present invention relates to a gravity and magnetic force exploration data processing technique in geophysical exploration, and is a compensation direction filtering method for two-dimensional grid data. Gridding processing is performed on original data. Azimuth and node distribution in each window which corresponds with each orientation are divided in each window. The node coefficient in background field filtering and the node coefficient in calculating a residual field compensation filtering on each orientation are set. The background field value of the filtering orientation in each window is calculated. Cyclic iteration is performed for finishing compensation direction filtering. The compensation direction filtering method of the two-dimensional grid data has high filtering directivity and satisfies the required for extracting direction abnormity information in heavy magnetic processing, and simultaneously can satisfy the requirement for restraining abnormity information in a certain direction. The compensation direction filtering method for the two-dimensional grid data leads to progress in heavy magnetic exploration data processing and interpreting technique, and simultaneously provides a new method for processing directional filtering of the two-dimensional grid data in other subjects.

The invention provides a nonlinear image multi-scale geometric representation method. The technical scheme comprises the following steps of 1, filtering an image by using an FIR medium value mixed filter; 2, performing 2-reducing sampling on the filtered image according to an interlacing inter-row mode to obtain a lower sampling image; step 3, performing medium value-based 2-increasing interpolation filtering on the lower sampling image to obtain an interpolation estimating image; step 4, subtracting the original image by the interpolation estimating image to obtain multiple scale layer nonlinear pyramid decomposing images; step 5, performing Shear directional filtering on each scale layer nonlinear pyramid decomposing image to obtain a sub-band image. The nonlinear image multi-scale geometric representation method belongs to an image nonlinear multi-scale geometric representation method with excellent performance, is less in operand, and has higher application values in aspects such as image compressing, edge extracting, grain retrieving.

The present invention discloses an image anti-aliasing system, which comprises an edge detection unit, a directional filter, a low-angle directional filter, a directional filtering fusion unit and a result fusion unit; the edge detection unit outputs the edge direction and edge confidence according to an input image, the directional filter outputs a directional filtering result based on the input image and the edge direction, the low-angle directional filter outputs a low-angle directional filtering result according to the input image and the edge direction; the directional filtering fusion unit weights and combines the result output from the directional filter and the result output from the low-angle directional filter according to the edge direction, and outputs a result of weighted combination of two directional filtering results; the result fusion unit outputs an optimized image according to the edge confidence, the input image and the result of the directional filtering fusion unit. The present invention can well handle directional filtering in any direction and it has good effect to low-angle aliasing.

The invention provides a nickel foam surface defect image segmentation method. The nickel foam surface defect image segmentation method includes the steps: acquiring a nickel foam image, performing directional filtering preprocessing on the obtained image to obtain a new image; and performing image segmentation on the new image by means of a PCNN segmentation algorithm to obtain a nickel foam surface defect area. The nickel foam surface defect image segmentation method has preferable segmentation effect, and can realize effective separation between the nickel foam surface defect and the background.