150results about How to "Real-time extraction" patented technology

The invention discloses a visual online image ferrography imaging system, which comprises an image acquisition device, a lens base, a focusing mechanism, an LED (Light Emitting Diode) annular reflection light source and a bicolourable ultra-thin LED backlight source; the image acquisition device is sleeved and fixed at the upper part of the focusing mechanism through the lens base; the bottom of the focusing mechanism is connected with an oil flow channel in ferrography through a thread; the LED annular reflection light source is fixedly connected with a threaded lens cone in the focusing mechanism; the bicolourable ultra-thin LED backlight source is adhered to a sedimentary slide in the oil flow channel in the ferrography. According to the invention, the object distance and the image distance are respectively adjusted through the focusing mechanism; the focal distance error of the lens is corrected; ferrography imaging with the fixed rate of 1.8 times can be realized; simultaneously, high-brightness and uniform illumination can be provided by adopting the LED annular reflection light source; the bicolourable ultra-thin LED backlight source as the transmission light source is wide in illumination range; the full-field ferrography imaging can be realized; the visual online image ferrography imaging system disclosed by the invention has the characteristics of being small in volume, high in imaging quality and easy for extracting visual abrasive particle characteristic information.

The invention discloses a method for extracting a tower target in an unmanned aerial vehicle routing inspection power transmission line image, and belongs to the technical field of pattern recognition and intelligent computation technologies. The method for extracting the tower target comprises the steps of converting an image acquired by aerial photographing from an RGB color space into an HSI (hue/saturation/luminance) space, carrying out binarization processing on an I component image of the HIS space after being subjected to median filtering so as to acquire a binary image of an electric power tower profile; carrying out angular point detection on the binary image of the electric power tower profile by adopting an improved Susan angular point detection method, and marking positions of all angular points in the binary image of the electric power tower profile; and detecting the mass center of an angular point sequence based on a moment invariant mass center detection algorithm, and marking the position of the electric power tower in an original image by taking the mass center as a center. Through applying the technical scheme disclosed by the invention, the electric power tower can be extracted accurately in real time, and a guarantee is provided for fault diagnosis of electric power components such as insulators, hardware fittings and the like on the tower.

The invention provides a quick dynamic reactive-power compensating method of combined electrical load. The method is characterized in that a power electronic power converter (12) is controlled by an intelligent controller (7) to change the current and the impedance of a secondary winding of a variable reactor (11), so as to change the current and the impedance of a primary winding of the variable reactor (11); the fundamental current is changed by changing the admittance of the variable reactor when the input voltage is unchanged, so that the change of the variable reactor absorbing reactive power is caused; when an adjustable capacitor bank (5) is controlled by the intelligent controller and the target power factor is compensated, an inductive reactance convertor (6) can slide to adjust the reactive power in cooperation with the adjustable capacitor bank; therefore, the dynamic reactive-power compensation of the combined electrical load is realized. The method can realize real-time analysis and extraction of reactive power and reactive current under different load conditions, so as to realize intelligent control of the optimal quick reactive-power compensation; and the method can be used for quick reactive-power compensation of the combined high-voltage electrical load in the industries such as metallurgy, building materials, petrifaction and the like.

The invention discloses a phase delay extraction and compensation method for PGC phase demodulation. A sinusoidal phase modulation interferometric signal is converted into a digital interferometric signal through an analog-to-digital converter after amplifying and filtering, first-order, second-order and fourth-order harmonics of the digital interferometric signal are subjected to orthogonal downmixing simultaneously, and three pairs of orthogonal harmonic amplitude signals are obtained. Phase delays are extracted from the three pairs of orthogonal harmonic amplitude signals, and corresponding phase delay correction coefficients are calculated out by using the phase delays. The phase delay correction coefficients are multiplied by the absolute harmonic amplitude signal equal to the sum ofthe absolute values of the orthogonal harmonic amplitude signals to obtain new harmonic amplitude signals which are not affected by the phase delays, and then a to-be-measured phase is obtained through antitangent operation. The problems are solved that in the PGC phase demodulation technology, phase delay is difficult to measure and non-linear errors caused by the phase delay are difficult to compensate for in real time, the phase measurement accuracy is improved, and the method is widely applied to the technical field of sinusoidal modulation interference.

The invention discloses a static hand gesture description method based on the quadrangle skeleton structure; the skin-color region is detected to obtain the binary mask of the static hand gesture region; then the contour-rectangle is constructed according to the binary mask and is equally divided into four sub rectangles; the centroids of the binary mask pixel point sets in the four sub rectangles are searched in the four sub rectangles; the four centroids are connected to construct a quadrangle skeleton used for indicating different hand gestures; then six perimeter ratios, four angle perimeter ratios and four rectangle degrees of the quadrangle skeleton are extracted and used as the description characteristic values; the description characteristic values are processed normalization to form the 14-dimensional characteristic vector for expressing different static hand gestures. The static hand gesture description method not only can recognize the characteristics of the common hand gestures, but also can recognize the characteristics of the complex static hand gestures, so as to satisfy the real-time processing requirement and improve the recognition correct rate of the complex hand gestures.

The invention discloses a fetus electrocardiosignal extracting method based on a self-adaptation FLANN filter, and belongs to the technical field of fetus electrocardiosignal detecting. The fetus electrocardiosignal extracting method solves the problem that due to the nonlinearity of a mother electrocardiosignal from the chest area to the abdomen area and the non-stability characteristic of the electrocardiosignal , the fetus electrocardiosignal is extracted inaccurately. A mother and fetus mixed electrocardiosignal is obtained through the lead of the abdomen of the mother, and the mother electrocardiosignal is obtained through the lead of the chest of the mother; two kinds of electrocardiosignals obtained from the body surface of the mother are respectively processed; the preprocessed mother and fetus mixed electrocardiosignal and the preprocessed mother electrocardiosignal are normalized to serve as an original input signal and a reference input signal of the self-adaptation FLANN filter; parameters of the self-adaptation FLANN filter are constantly updated through the self-adaptation LMS algorithm, and the non-linear relationship of the mother electrocardiosignal from the chest area of the mother and the abdomen area of the mother is estimated; an error output signal of the self-adaptation FLANN filter serves as an estimated fetus electrocardiosignal. The fetus electrocardiosignal extracting method is used for extracting the fetus electrocardiosignal.

The invention provides a dynamic self-adaption skin color segmentation method and a device. The method comprises the following steps: a red green blue (RGB) image is obtained; colors and space of the RGB image are transformed to obtain a hue saturation value (HSV) image; a face of a person is tested to obtain a position and an area of the face; color values of a skin color pixels in the face area are collected to serve as a skin color sample, and color values of positions with intense light changes are recorded to serve as a skin color change sample; each chromatic value or saturation value of histograms of the skin color sample and the skin color change sample are polled and are combined with predetermined weight; through the covering rate of the pixel counts within the chrominance or saturation threshold ranges of the histograms to the total counts of the corresponding histograms, skin color segmentation threshold values are obtained; the skin colors are tested through the skin color segmentation threshold values. By means of the above method and device, the skin color dynamic and self-adaption segmentation can be achieved, and thereby the accuracy of the skin color testing and the adaptability of the skin color testing to light changes are improved.

The invention discloses a method for rapidly positioning a license plate in a video image. By the method, license plate candidate regions are rapidly segmented by utilizing a gradient shadow detection method and a one-dimensional filtering technology on the basis of vehicle bottom shadow characteristics and then are positioned precisely. The method comprises the following steps of: (1) extracting a frame of image in video and segmenting processing regions; (2) graying the images of the processing regions and performing gray stretch; (3) performing primary coarse positioning according to the vehicle bottom shadow characteristics; (4) de-noising by a one-dimensional filtering method and determining candidate regions; and (5) precisely positioning the candidate regions by using morphology. The method has the advantages of easiness in implementation, high robustness, high precision, high real-time performance and the like, and can provide a new real-time and reliable rapid positioning method for the license plate positioning in license plate identification.

The technical scheme provides a real-time digital video watermarking method based on an H.264 standard, comprising the following steps of: embedding watermarking information obtained after processing and coding and used as secondary enhancing information into a secondary enhancing information (SEI) field of each frame by analyzing the H.264 protocol standard and using available information resources in the H.264 standard; and ensuring robustness and nonvisibility of watermarking on the condition that video quality and a code stream format are not influenced. The real-time digital video watermarking method based on the H.264 standard can effectively resist frame deletion attack, has a simple realization mode, is used for solving various problems in the prior art that spatial synchronous distortion and photometric distortion can not be effectively resisted. The technical scheme can be used for judging copyright ownership or hiding, secretly carrying and transmitting information, and the like.

The invention discloses an AVS video digital watermark method based on nonnegative matrix decomposition, which mainly solves the problems of low transmittance and poor attacking repellence to frame deletion and frame recomposition. The invention generates watermark based on content by utilizing light characteristics of a video I frame and extracts kinetic characteristics of video signals by utilizing the nonnegative matrix decomposition during the watermark embedding, and can self-adaptively adjust the embedding strength and the embedding position of the watermark by combining texture and light characteristics of the video to embed the watermark into intermediate frequency DCT coefficients of prediction residual errors of an I frame light block. During the watermark verification, the I frame is only decoded, the video product is judged whether the watermark is embedded or not by comparison of the extracted watermark and the verification of the error rate of the watermark. The invention has high transmittance and robustness, can be used in the video product with AVS standard, and provides reliable copyright protection for the AVS video product.

The invention provides an SMT material mistake preventing and tracing method and system. The method comprises the following steps that a database is established based on material information, and management is conducted; bar codes are established for materials and stored in the database; the material bar codes are recognized, and matching is conducted on the recognized information and the information in the database; if the material bar code information is matched with the information in the database successfully, the next step is conducted; if the material bar code information is failed to be matched with the information in the database, an alarm is sent out; and the bar codes of the materials which are processed completely are scanned, the scanning information is stored in the database, and the purpose of extracting production line data in real time can be achieved. It is not required to make feeding tables, feeding is carried out according to programs, material mistaking is prevented, and paper-free operation is achieved. Manual checking is not required, the efficiency is high, and no mistake will be made. The materials are sought quickly, the line exchanging efficiency is improved, and the employee pressure is lowered.

The invention discloses a network flow analysis and file extraction system. The system comprises a flow capture module, a flow preprocessing module, a protocol statistics module, a protocol analysis module and a file extraction module. Under the condition that normal communication flow of an enterprise is not influenced, communication flow between the enterprise and a public network can be captured, flow of different IPs and different protocols is counted, transmitted files are extracted in real time, and file content is written into a disk.

The embodiment of the invention belongs to the technical field of signal processing and provides a method and device for extracting the main melody of music signals and terminal equipment. The methodcomprises the steps that: to-be-processed music signals are obtained, wherein the music signals comprise a plurality of frames of audio data; each frame of audio data is preprocessed, so that valid frames and invalid frames can be distinguished from each other; the invalid frames are identified as fundamental-frequency-free frames; for the valid frames, a frame frequency spectrum is calculated, and a main frequency is determined according to the frame frequency spectrum; a plurality of candidate fundamental frequencies of the valid frames are determined according to the main frequency of the valid frames and a preset harmonic energy cross-correlation algorithm; a fundamental frequency is identified from the plurality of candidate fundamental frequencies of the valid frames according to a preset rule; and based on the fundamental frequency of all the invalid frames, a fundamental frequency contour line matched with the music signals, i.e., the main melody of the music signals, is generated. With the method and device provided by the embodiments of the invention adopted, the main melody of the music signals can be accurately extracted in real time, and a calculated amount is small. The method can be used in various kinds of hardware containing microprocessors.

The invention discloses a real-time operation state collection system of a high-voltage mutual inductor group. The system comprises a synchronization module, a collection module, a merging module andan output module; the synchronization module comprises a Beidou/GPS reception module and a synchronization control core module, receives Beidou/GPS signals, provides PPS pulses and a time-service signal, and supports real-time synchronous collection among multiple collection systems; the collection module realizes A/D sampling and characteristic quantity extraction on secondary output electrical analogy signals of groups of mutual inductors; the merging module merges characteristic quantity extraction results of multiple channels, and extracts absolution time from the Beidou/GPS time-service signal; and the output module transmits a collection result to local and remote terminals, and the result can be used to evaluate an operation error of the mutual inductor group in real time. Via the system, operation state data of the groups of mutual inductors in the power grid can be collected synchronously in high precision and in real time, and data basis is provided for evaluation of the operation error of the mutual inductor group.

The invention, which belongs to the technical field of electrical variable measurement, provides an adaptive-notch-filter-based harmonic wave extraction method. The method comprises: a, collecting a to-be-measured signal by a sampling device to obtain an input signal u(t); and b, carrying out harmonic wave extraction on the input signal u(t) so as to obtain each harmonic instantaneous value ./xh, a fundamental frequency omega 1, a direct current deviation A0, and each harmonic amplitude Ah. With the method, a problem of measurement error occurrence when direct current deviation occurs in the input and the amplitude is changed according to the original adaptive notch filter (ANF) method can be solved. Even though the amplitude and frequency of the input signal are changed suddenly and even the direct-current deviation is added, the fundamental frequency, the direct current deviation, and each harmonic instantaneous value and each harmonic amplitude can be extracted in real time with high precision based on the algorithm.

Embodiments of the present invention provide a road structure information extraction method, unmanned aerial vehicle, and automatic driving system. The method includes: obtaining at least one frame ofimage data of the road (S201); determining a semantic map of the road based on the at least one frame of image data (S202), and determining road structure information of the road according to the semantic map and the road structure model, wherein the road structure information includes lane grouping information (S203), which realizes the automatic extraction of road structure information withoutmanual annotation, and can extract road structure information in real time, which improves the extraction efficiency of road structure information and the road structure information includes not onlylane information but also lane grouping information, and description of the road structure is more specific. .

The invention discloses a slit-lamp anterior segment sectional image feature extraction method comprising the following steps: 1, using a slit-lamp to gather an anterior segment sectional image so asto obtain an anterior segment color image; 2, carrying out color space transformation for the anterior segment color image, carrying out multi-threshold binary, distinguishing cornea, iris and crystalline lens latent areas, and respectively using blob shape analysis to obtain the cornea, iris and crystalline lens areas; 3, using morphological operation to carry out hole filing and expansion process for the cornea, iris and crystalline lens areas; 4, using a level set algorithm to track the boundaries, precisely tracking surface boundaries of each part of the anterior segment, and finding the anterior segment. The method solves the problems that the level set algorithm is slow in speed when applied in the whole image, can realize real time extraction and analysis of the anterior segment sectional image features, thus providing reliable basis data for solving anterior segment clinic parameters.

The invention discloses a multimedia digital watermark evidence taking mobile phone. The multimedia digital watermark evidence taking mobile phone is an intelligent evidence taking mobile phone whichuses the unique stability, concealment, security and fragility of a fragile digital watermark to ensure the integrity, the authenticity, the stability, the reliability and the authority of photographed and recorded multimedia data based on an image, audio and video fragile digital watermark embedding and extraction technology. When a user uses the mobile phone, imperceptible and unmodifiable fragile digital watermark information with unique identity confirmation is embedded in real time in a photographed image, audio and video. The image or the audio or the video with the fragile watermark canbe normally used and distributed but can not be modified manually. The authenticity of a file can be identified according to whether the photographed digital file contains the digital watermark information. The evidence taking process is quick, efficient, accurate, safe and convenient. The evidence taking content has the uniqueness of a digital evidence and the legal authority of evidence use, and the multimedia digital watermark evidence taking mobile phone disclosed in the invention can be used for evidence taking and recording in fields such as judicature, law enforcement and claim.

The invention brings forward a ZY-3 image-based shallow lake seine zone extraction method comprising the following steps: ZY-3 images of a research area are obtained and are subjected to image pre-processing operation; according to the pre-processed images, a typical seine sample database is chosen; the pre-processed images are subjected to gradient transformation operation; based on the transformed images, mean value and variance of seine sample zones are calculated; a seine zone threshold value is determined according to the mean value and the variance of the seine sample zones, and a seine zone is preliminarily extracted; a seine zone extracting result is optimized; optimization operation comprises operation of removing salt and pepper noise parts and low frequency parts and operation of removing broken spots; geometry characteristics of the seine zone are calculated, interpreted distribution and area of the seine zone are used as reference, and the extraction result is subjected to precision verify operation. Via use of the extraction method disclosed in the invention, a seine can be rapidly extracted in real time in a large scope and high precision manner, a data foundation is provided for further researching relations between shallow lake seine area and water environment, and basis is provided for making a water quality optimizing and lifting solution.

The embodiment of the invention discloses a passive visual system-based molten pool edge extraction method. A region and an edge in a molten pool image acquired by a passive visual system are modeled respectively, the two models are fused into a region-based active contour model and an edge-based active contour model respectively, the two active contour models are combined, and the combined active contour models are solved to accurately extract the edge of a molten pool in real time and provide useful information for the regulation of welding parameters in an automatic welding process.