84 results about "Directional filtering" patented technology

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 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.

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.

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.

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 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 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.