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1642results about How to "Reduce the impact of noise" patented technology

SAR image registration method based on SIFT and normalized mutual information

ActiveCN103839265AShorten the timeEnsure follow-up registration accuracyImage analysisFeature vectorNormalized mutual information
The invention provides an SAR image registration method based on SIFT and normalized mutual information. The method includes the steps that firstly, a standard image I1 and an image to be registered I2 are input and are respectively pre-processed; secondly, features of the pre-processed image I1 and features of the pre-processed image I2 are extracted according to the MM-SIFT method to acquire initial feature point pairs Fc and SIFT feature vectors Fv1 and Fv2; thirdly, initial matching is carried out through the Fv1 and the Fv2; fourthly, the Fc is screened for the second time according to the RANSAC strategy of a homography matrix model, final correct matching point pairs Fm are acquired, and a registration parameter pr is worked out according to the least square method; fifthly, I2 is subjected to space conversion through affine transformation, and a roughly-registered image I3 is acquired through interpolation and resampling; sixthly, pr serves as the initial value of normalization information registration, I1 and I2 are subjected to fine registration through the normalized mutual information method, a final registration parameter pr1 is worked out, and a registered image I4 is output. The method can be quickly, effectively and stably carried out, and SAR image registration precision and robustness are improved.
Owner:XIDIAN UNIV

Image mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points

The invention relates to an image mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points, which leads image statistical information (Zernike pseudo-matrix) to be interrelated with the characteristic points of an image by using the following steps: firstly, extracting interest points of an inference image and an input image by utilizing a Harris angle detector, and taking rectangular neighborhoods using the interest points as a center as a local characteristic region with characteristic matching; secondly, calculating the Zernike pseudo-matrix to the rectangular characteristic regions to be used as descriptors of the characteristic region, and realizing the matching of the characteristic points through comparing the Euclidean distance of the characteristic vector of the descriptor of each characteristic region. The matching can have less wrong matching points which are eliminated through a RANSAC (RANdom Sample Consensus) algorithm, and the right matching relation can be calculated to realize the image mosaic. The invention can effectively realize the image registration and mosaic with geometric transformation relations of translation, rotation, small scale zooming, and the like, and can be used for image treatment and image synthesis of fields such as communication, multimedia technology, and the like.
Owner:郭宝龙 +1

Method and apparatus for automatically identifying animal species from their vocalizations

Relatively powerful hand-held computing devices, Digital Signal Processors, Audio signal processing technology, voice recognition technology, expert systems, Hidden Markov Models, and/or neural networks are employed in a device capable of real-time automated species identification by listening to bird vocalizations in the field, analyzing their waveforms, and comparing these waveforms against known reference samples. An apparatus for identifying animal species from their vocalizations, comprises a source of digital signal representative of at least one animal candidate vocalization; a feature extractor that receives the digital signal, recognizes notes therein and extracts phrases including plural notes and that produces a parametric representation of the extracted phrases; and a comparison engine that receives the parametric representation of at least one of the digital signal and the extracted phrases, and produces an output signal representing information about the animal candidate based on a likely match between the animal candidate vocalization and known animal vocalizations. A computer-implemented method of identifying animal species, comprises: obtaining a digital signal representing a vocalization by a candidate animal; transforming the digital signal into a parametric representation thereof; extracting from the parametric representation a sequence of notes defining a phrase; comparing the phrase to phrases known to be produced by a plurality of possible animal species; and identifying a most likely match for the vocalization by the candidate animal based upon the comparison. The comparison engine or comparison function may use Hidden Markov Models, expert systems and/or neural networks.
Owner:WILDLIFE ACOUSTICS

Method and system for detection edge of blood vessel graphic tissue structure and blood vessel endangium

The invention discloses a method and a system for detection an edge of a blood vessel graphic tissue structure and a blood vessel endangium. The method comprises the following steps: acquiring a two-dimensional ultrasonic blood vessel grayscale image; searching for the central position of a blood vessel on the basis of the structural characteristics of the blood vessel and setting an interesting area; searching a blood vessel cavity and the blood vessel endangium of the interesting area, and/or the initial segmentation boundary between the medial layer of the blood vessel and a blood vessel adventitia, creating an energy functional on the basis of a grayscale distribution function of the segmentation area, and taking the position corresponding to the extreme value of the energy functional as the boundary position between neighbouring areas; and calculating and displaying blood vessel wall parameters. The grayscale distribution-based energy functional is introduced into the detection of the boundary of the tissue structural area; stronger robust estimation is subjected to the edge of the tissue structure by analyzing the grayscale distribution characteristics of each tissue structure; and partial extreme value is avoided.
Owner:SHENZHEN MINDRAY BIO MEDICAL ELECTRONICS CO LTD +1

Signal transmission device

The invention provides a signal transmission device that transmits a signal applied to a pair of input terminals to a pair of output terminals insulated electrically from the pair of input terminals while reducing the influence of an external noise magnetic field. The signal transmission device has a pair of coils, a pair of magnetic sensors and a signal output section. Each of the coils is connected between the pair of input terminals. Each of the coils generates a magnetic field respectively in response to the input signal applied between the pair of input terminals. A direction of the magnetic field generated by one of the coils is opposite to a direction of the magnetic field generated by the other of the coils. Each of the magnetic sensors corresponds to one of the coils exclusively. Each of the magnetic sensors detects the magnetic field generated by the corresponding coil, and outputs a detection signal in response to the detected magnetic field. The signal output section outputs an output signal to the pair of output terminals. The output signal corresponds to a difference between the pair of detection signals outputted by the pair of magnetic sensors. In the difference, the signal component caused by an external noise magnetic field is canceled. On the other hand, in the difference, the signal component caused by the input signal applied between the pair of input terminals are doubled with respect to the input signal. Thereby, the signal output section outputs the output signal with high S/N ratio.
Owner:TOYOTA JIDOSHA KK

Method, arrangement and device for controlling predistortion

A predistortion control device (1). The device has a first predistortion control input connectable to a power amplifier output (21); a second predistortion control input (11) connectable to a signal contact of a predistortion device; and a predistortion control output (12) connectable to a control contact of the predistortion device. The predistortion control device (1) further includes a cross-correlator device (110). The cross-correlator device (110) is connected with a first cross-correlator input (1101, 1101I, 1101Q) to the first predistortion control input and a second cross-correlator input (1102, 1102I, 1102Q) to the second predistortion control input (11). The cross-correlator device (110) is further has a cross-correlator output (1112) at which a cross-correlation signal can be presented, the cross-correlation signal representing a measured cross-correlation of signals presented at the first cross-correlator input (1101, 1101I, 1101Q) and the second cross-correlator input (1102, 1102I, 1102Q). The predistortion control device (1) further has a predistortion function selector device (120)(120), connected with a selector input to the cross-correlator output (1112), and with a selector output to the predistortion control output (12), at which selector output a predistortion control signal can be presented. The predistortion control signal representing a predistortion function determined on the basis of said cross-correlator signal.
Owner:UNWIRED PLANET
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