12 results about "Directional filtering" patented technology

This invention discloses a system and method for labeling automotive abnormal noise data, relating to the field of automotive NVH detection technology. The method includes: receiving raw signal data of automotive abnormal noise; performing time-frequency transformation on the raw signal to generate a time-frequency diagram; identifying key frequency ranges characterizing the abnormal noise features; then performing directional filtering to enhance the abnormal noise signal; identifying candidate time ranges for abnormal noise through an automatic detection algorithm; and outputting the final abnormal noise time range labels and key frequency ranges in a structured format after verification and correction. The system includes a data receiving module, a signal processing module, a display module, an intelligent labeling module, an audio playback module, a labeling output module, and an interaction module, achieving triple-assisted labeling through auditory, visual, and intelligent pre-selection methods. This solves the problems of low efficiency, low accuracy, and poor consistency in traditional manual listening methods, providing high-quality labeled data for deep learning classification of automotive abnormal noises.

The invention discloses a window optimization angle filtering anomalous body trend determination method and system, and the method comprises the steps: building an anomaly model composed of at least three anomalous bodies, and adding a preset noise amount of Gaussian white noise into the anomaly model, so as to obtain magnetic anomaly data; and performing model verification on the magnetic anomaly data by adopting multiple filtering algorithms to obtain an optimal filtering algorithm, and performing filtering processing on the target magnetic anomaly data based on the optimal filtering algorithm to obtain an output map. Window optimization angle filtering is used as a non-linear direction filtering method, the direction with the highest data consistency is searched in a sliding window through iteration, interpolation averaging is carried out in the direction, the trend feature of an anomalous body can be highlighted during effective denoising, boundary information is reserved, the method is suitable for magnetic anomaly processing with obvious directivity, and the method is suitable for large-scale popularization and application. The window optimization angle filtering can effectively enhance the trend characteristics of the anomalous body, avoids the problems of anomaly superposition and boundary smoothness, and provides a clearer and more accurate data basis for subsequent geological interpretation.

The application relates to the field of intelligent medical treatment, in particular to a thyroid ultrasound image data enhancement method, device and program product. The method comprises the following steps: acquiring a thyroid ultrasound image; segmenting the thyroid ultrasound image to obtain a fascia mask and an adenoid parenchyma mask; calculating the distance from each pixel to the nearest edge pixel of the fascia mask to generate a distance map, and calculating the weight of each pixel through the distance map to generate an anatomical weight atlas; performing smoothing processing on the thyroid ultrasound image through the anatomical weight atlas to obtain an illumination layer; removing the pixel component of the illumination layer on the pixel of the thyroid ultrasound image to obtain a texture layer; performing directional filtering on the texture layer to obtain a direction selection coefficient; performing gate control on the tissue region of the adenoid parenchyma mask to obtain a tissue gate map; enhancing the texture layer through the direction selection coefficient and the tissue gate map to obtain an enhanced texture layer; and combining the illumination layer and the enhanced texture layer to obtain an enhanced image. The application has good clinical value.

The invention relates to a backup node scheduling method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring performance index information of each candidate backup node in a database cluster; inputting the performance index information into a directional filter to obtain a positioning filtering result; wherein the directional filter is used for directly determining a target backup node; under the condition that the target backup node is not determined in the positioning filtering result, inputting the performance index information into a condition filter to obtain a candidate node list after condition screening; and calculating a performance evaluation score of each candidate backup node in the candidate node list according to the index evaluation weight, determining a target backup node according to the performance evaluation scores, and executing a backup task by adopting the target backup node. By adopting the method, the backup node scheduling accuracy in the database cluster environment can be improved.

The invention provides an ultrasonic imaging method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a basic median angle of a reconstruction point based on the relative position information between the reconstruction point on a detection target and an ultrasonic probe, the basic median angle being an included angle between the normal of the reconstruction point on the surface of the detection target and the normal of the surface of the ultrasonic probe; determining a median angle range including a basic median angle; based on echo data obtained by detecting the detection target by the ultrasonic probe, determining a brightness component of the reconstruction point under each mid-angle in the mid-angle range; and determining a brightness value of the reconstruction point in the ultrasonic image based on the brightness component of the reconstruction point at each mid-angle in the mid-angle range. According to the method, the device, the electronic equipment and the storage medium provided by the invention, directional screening and superposition of the echo signals are realized, the visual definition under various inclination angles and depths can be effectively improved, the existing ultrasonic equipment hardware and data acquisition process are prevented from being changed, and the method and the device have compatibility and real-time performance.

The invention provides a vehicle external sound processing method and system and a storage device. The method comprises the steps that original environment sound signals in multiple directions outside a vehicle are collected; based on a target sound pointing instruction, performing beam forming processing on the original environment sound signal, and extracting a first sound signal in a specific direction; performing noise suppression and target sound separation processing on the first sound signal to obtain a second sound signal; and performing high-fidelity audio reconstruction and amplification on the second sound signal to obtain an audio signal of the target sound, and outputting the audio signal to an in-vehicle loudspeaker. According to the method provided by the invention, directional screening and noise reduction of the environment sound outside the vehicle and high-fidelity playback in the cabin can be realized.

The utility model discloses a wireless gun searching device based on space directional filtering, which comprises a bottom shell, a fixing plate is mounted at the upper end of the bottom shell, a middle layer mechanism is arranged on the fixing plate, a top shell is mounted on the upper side of the fixing plate, an upper layer mechanism is arranged in the top shell, and a lower layer mechanism is arranged on the upper side of the top shell. The upper layer mechanism comprises a main control board arranged in the top shell, the main control board is connected with a display screen which is arranged in the upper surface of the top shell and used for displaying gun position signals and manual operation, and a working instruction is given to the main control board by operating the display screen at the top. And controlling the steering engine to rotate, driving the space directional filter to rotate, reading a wireless signal of a corresponding gun, obtaining angle and distance information of the gun, sending data back to the main control panel, displaying a position signal of the corresponding gun on the display screen, and providing direction guidance for a user to search the gun.

The invention discloses a block and frame directional filtering method in CAD drawing AI translation, and relates to the technical field of drawing translation. In the field of CAD drawing AI translation, in the prior art, due to the fact that global characters of a drawing are extracted and translated without difference, company names, logos and the like in a drawing frame and content, bearing fixed formats and identities, of project names, patent information and the like in a specific drawing block are often wrongly translated, normalization and authority of the drawing are damaged, additional manual proofreading and correction are needed, and translation efficiency is reduced. According to the method, the structured model is constructed by analyzing the CAD file, and the block index is established, so that a user is allowed to specify a specific block or frame name which needs to be reserved, and the specific block or frame name is uniformly marked as an exclusion translation state; therefore, it is ensured that core contents, such as company names, logos and signature columns, bearing fixed formats and identity information in a picture frame are completely reserved in the follow-up AI translation process, and the problem that the normalization and authority of drawings are damaged due to global character extraction and translation is solved.

This application relates to the interdisciplinary field of geotechnical engineering and computer vision, and discloses an image recognition and analysis system for shallow foundation reinforcement conditions. The system includes an image acquisition and separation module for acquiring the foundation video stream and dividing it into a pre-reinforcement steady-state image, a dynamic sequence during reinforcement, and a post-reinforcement steady-state image; a transient displacement calculation module for solving the dynamic sequence and extracting the transient displacement field gradient mean and transient principal displacement vector angle; a frequency domain directional filtering module for mapping the principal displacement vector angle to orthogonal directions and constructing a directional two-dimensional Gabor filter bank to process the steady-state image; a spectral feature calculation module for calculating the high-frequency texture energy integral and outputting the directional compaction anisotropy index; and a state quantification evaluation module for fusing the displacement field gradient mean and anisotropy index to generate a reinforcement state index. This invention establishes a cross-domain mapping between macroscopic deformation and microscopic texture, improving the accuracy of foundation compaction assessment and realizing adaptive closed-loop control of foundation reinforcement construction.

The application discloses a channel fingerprint generation and recovery method based on a conditional latent diffusion model, comprising the following steps: converting the channel fingerprint into an initial image through a preset mapping rule, performing gray scale verification on the initial image, performing multi-scale directional filtering processing on the gray scale image, taking the filtered image as the condition input of the conditional latent diffusion model and initializing the latent variable, expanding the pixel value of the filtered image into a feature vector, performing a reverse sampling process, starting from the last step latent variable of the forward diffusion process, converting the final latent variable obtained through the reverse sampling process into data consistent with the dimension of the initial channel fingerprint, and obtaining the generated and recovered channel fingerprint. Thus, the preprocessing quality can be optimized to reduce feature loss, the feature capture integrity can be improved to strengthen the fingerprint distinguishability, the generated fingerprint similarity can be enhanced to guarantee the feature authenticity, the complex environment robustness can be improved to guarantee the recovery stability, and the dimension consistency can be guaranteed to improve the engineering practicability, and the like.

The invention provides an intelligent evaluation method and system for the scale depth of a micro puncture guide wire and a storage medium, and the method comprises the steps: obtaining continuous multi-frame images of a target region, and generating a high-signal-to-noise-ratio image through inter-frame motion estimation and time domain weighted fusion; multi-directional filtering is carried out by adopting a controllable filter bank, and a guide wire central axis and a contour boundary are extracted based on maximum linear response; extracting a one-dimensional pixel intensity sequence and a local width sequence along the axis; performing continuous wavelet transform on the intensity sequence, determining an analysis scale by combining with a local width, and extracting a scale mark initial position along a scale-space energy ridge line; constructing a nonlinear pixel-physical length correction model according to a guide wire physical diameter and width sequence, and converting an initial position into an accurate physical coordinate; and by taking any scale as a reference, calculating the physical distance between the other marks and the scale, and determining the puncture depth.

The invention provides a false liquid level identification method and system. According to the method, an original image of a liquid level area of the steam generator is collected in real time, background illumination difference is removed through graying, CLAHE contrast enhancement, bilateral filtering smoothing, Laplacian sharpening and Top-hat conversion, and an enhanced grey-scale map is obtained; then, a fractal dimension graph based on a sliding window is calculated to represent local texture complexity, background and stripe artifacts are removed through local fuzzy subtraction and directional filtering, after the edge is detected through a Sobel operator, a bubble mask is generated in combination with expansion-erosion operation and morphological closed operation, and edge noise is eliminated through edge reverse masks; and finally, calculating the space overlapping degree of the liquid level edge and the bubble mask, judging the liquid level as a false liquid level when the overlapping degree exceeds a threshold value, and otherwise, judging the liquid level as a real liquid level. The method and the system have the advantages of high identification precision, short response time, strong steam interference resistance and the like, and are suitable for liquid level monitoring and safety early warning in high-temperature and high-pressure environments of nuclear power plants, thermal power plants and the like.