16results about How to "Improve image processing capabilities" patented technology

The invention provides an object positioning and posture recognition method based on 3D vision. The method comprises the steps that 3D point cloud data and image data corresponding to the 3D point cloud data are collected; preprocessing the image data to obtain a quality evaluation result, and executing image restoration processing based on the quality evaluation result to generate optimized image data; inputting the optimized image data into a pre-constructed conditional diffusion model based on hierarchical feature guidance, and generating feature representation of the optimized image data; and inputting the feature representation of the optimized image data into a differential transformer network to obtain a position and attitude prediction result of the object. According to the invention, through innovative image quality evaluation based on dual representation interaction driving, a conditional diffusion model based on hierarchical feature guidance and the design of a differential transformer network, the precision and robustness of object positioning and posture recognition in a complex environment are improved.

The invention discloses a photomask defect identification method, and belongs to the technical field of photomask detection. The method comprises the following steps: S1, acquiring a surface defect image; s2, preprocessing the surface defect image based on the imaging characteristics of the defect; s3, performing filtering algorithm correction on the preprocessed surface defect image; s4, performing colorimetric analysis on the surface defect image corrected by the filtering algorithm to obtain a particle region; s5, on the basis of morphological characteristics of defects, segmenting the particle region to obtain defect islands; and S6, performing morphological analysis on the defective island to obtain a defect type and a defect size. The photomask defect identification method provided by the invention combines morphological and colorimetric analysis methods to automatically process the surface defect image and extract the defect island, improves the accuracy of defect identification, gets rid of the constraint of the difference of different equipment imaging systems, realizes automatic batch processing, and saves the manpower and material investment in the mass production link.

The invention discloses a metro entrance and exit flood control equipment quick response method based on water level situation analysis, which comprises the following steps: acquiring water level data of different metro entrances and exits through monitoring video images, correcting image distortion by adopting inverse transparent transformation, extracting a water level line position by applying a threshold segmentation technology, and ensuring the monitoring precision; the water level change trend is predicted by combining a seasonal gating circulation unit neural network, a flood control measure model based on a decision-making tree is generated, rapid response of flood control equipment is achieved, and the bidirectional Bayesian decision-making model is used for evaluating the risk of subway entrance and exit flood disasters and making corresponding prevention and control measures. The real-time performance and accuracy of water level situation analysis and the response efficiency of flood control measures are improved, and the method has the advantages that the water level situation at the entrance and the exit of the subway can be accurately monitored in real time, different water level conditions are quickly responded through the decision-making tree model, and therefore the influence of flood on a subway system is effectively reduced, and the safety of passengers and facilities is guaranteed.

The present invention discloses an optometry lighting system and an optometry device, which relate to the field of optical technology, wherein an optometry lighting system comprises: a light source for emitting a light beam; a pupil diaphragm, wherein the pupil diaphragm is provided with a light-transmitting area, wherein the light-transmitting area is arranged in an annular shape; and a field diaphragm, wherein the field diaphragm is provided with a plurality of light-transmitting holes, and the distances between adjacent light-transmitting holes are equal, and the light beam passes through the light-transmitting area and is emitted through the light-transmitting holes to form projection light. The optometry lighting system provided by the technical solution of the present invention is easy to mass produce, saves costs, and has high reliability.

The utility model relates to the technical field of liquid crystal display screen detection, and discloses a liquid crystal display screen light source contrast detection system, which comprises a control circuit, a power supply circuit, a light source driving circuit, a self-adaptive light source adjusting circuit, an image acquisition circuit, a signal processing circuit, an image contrast calculation circuit, an LCD display driving circuit and a serial port communication circuit, through the design of the self-adaptive light source adjusting circuit, the brightness distribution and color change of the liquid crystal display screen can be analyzed in real time, the brightness and spectral distribution of the light source can be automatically adjusted, the optimal contrast detection condition is ensured, the light source is dynamically adjusted according to the actual state of the display screen, and the detection accuracy and stability are improved; through the design of the image contrast calculation circuit, the amplification value of the video signals and the relative value between the signals can be adjusted, namely, the brightness and the contrast of the video can be adjusted, and the image processing capability is further improved, namely, the accuracy and the stability of detection are further improved.

This invention discloses a method for identifying photomask defects, belonging to the field of photomask inspection technology. The method includes: S1, acquiring a surface defect image; S2, preprocessing the surface defect image based on the imaging characteristics of the defect; S3, correcting the preprocessed surface defect image using a filtering algorithm; S4, performing colorimetric analysis on the corrected surface defect image to obtain particle regions; S5, segmenting the particle regions based on the morphological features of the defect to obtain defect islands; S6, performing morphological analysis on the defect islands to obtain the defect type and size. The photomask defect identification method provided by this invention automatically processes surface defect images and extracts defect islands by combining morphological and colorimetric analysis methods, improving the accuracy of defect identification, overcoming the limitations of differences in imaging systems across different devices, achieving automatic batch processing, and saving manpower and material resources in mass production.

The invention relates to the technical field of image processing, and discloses a plane segmentation method and device for a three-dimensional rendering gradient multi-order plane, and the method comprises the steps: carrying out the gray conversion of a target image, and carrying out the three-dimensional projection and pixel point grouping of a first image processing result obtained through the gray conversion according to a pixel grouping condition, obtaining a second image processing result comprising a plurality of triangular surfaces; performing third image processing on the second image processing result by determining the vertex of each triangular surface, determining the intersection point between the plane where each triangular surface is located and the preset cross section and connecting the intersection points to obtain a third image processing result; and performing segmentation processing, classification processing and gradient color rendering on a non-triangular part in the third image processing result according to a pixel grouping condition to obtain a fourth image processing result including the target rendered image. Therefore, by implementing the method, the calculation data volume of three-dimensional rendering can be reduced, and the calculation efficiency of three-dimensional rendering can be improved.

The invention discloses a multi-scale feature extraction method, system and device for enhancing image similarity matching and a storage medium, belongs to the field of machine learning, and solves the problem that the similarity matching precision and efficiency of complex images are low. Comprising the following steps: normalizing the color of a received image and obtaining a pre-processed image by using an interpolation method or an image edge splitting method; inputting the pre-processed image and the target image into a twin neural network at the same time, performing convolution through a check network to obtain a multi-layer feature map corresponding to each image, and performing residual connection; using PAN to obtain a fusion feature map of semantic information and spatial information fusion; sPP is introduced to generate a plurality of layers of standard feature maps with fixed length, width and depth, and weight sharing of a full connection layer is realized; and according to the efficiency weight of a task machine, splicing the standard feature maps, inputting the spliced standard feature maps to a full connection layer, and selecting a corresponding output layer network according to a task type to obtain a prediction result. According to the method, the precision and efficiency of similarity matching of the complex images are improved through combination of the SPP and the PAN.

The utility model discloses a kind of oblique image zoom lens and anterior segment parameter measurement system, oblique image zoom lens includes: front fixed group, moving group and rear fixed group are sequentially arranged along light incident direction;Wherein, the front fixed group includes first lens and second lens sequentially arranged along the light incident direction;The moving group includes third lens;The rear fixed group includes fourth lens, cementing mirror group and fifth lens sequentially arranged along the light incident direction.The oblique image zoom lens and anterior segment parameter measurement system of the utility model can provide suitable optical zoom condition for anterior segment parameter measurement of different depth eye socket, can realize clear imaging to different depth eye socket, can make anterior segment and lens optical axis not perpendicular state, light still can be efficiently, correctly spread and focus, greatly widen the application range and operation convenience of measurement, powerfully promote the development and application of ophthalmic imaging technology in different eye socket population detection aspect.

The invention discloses a zero sample image restoration and enhancement method and system based on text guidance, and the method comprises the steps: obtaining an original degraded image, and constructing a positive and negative text pool; respectively generating a restoration map and a degradation map through the restoration network and the degradation network; prior loss is constructed; obtaining a reconstructed restored image and a reconstructed degraded image through the restoration model and the degradation model, and calculating reconstruction loss; converting the original degraded image, the restored image and the reconstructed restored image into image embedding vectors, converting texts in the positive and negative text pools into text embedding vectors, and screening to obtain positive and negative text embedding vectors; mapping an image embedding vector of the restored image and positive and negative text embedding vectors obtained by screening to a multi-mode embedding space to calculate and compare learning loss; and constructing a total loss function based on the prior loss, the reconstruction loss and the contrast learning loss to carry out iterative training, and outputting a restored image output by the restoration model as a final result. According to the invention, the fusion capability of the multi-modal information and the image restoration and enhancement quality can be improved.

The present application discloses an image processing model training method, an image processing method and an electronic device. The image processing model training method comprises: inputting at least one first image into the image processing model, obtaining a second image corresponding to each first image in at least one first image output by the image processing model; the image processing model is used to perform set image processing on the RAW image; the first image and the second image are both RAW images; using a loss function configured with at least one set influence factor, calculating the loss value corresponding to each first image in the at least one first image; the set influence factor represents the influence of the image signal processing ISP on the quality of the image; the loss value is calculated based on the corresponding second image and the corresponding third image; according to the loss value corresponding to each first image in the at least one first image, updating the weight parameter of the image processing model.

The invention discloses an image processing method and device, electronic equipment, a medium and a computer program product, and belongs to the technical field of artificial intelligence, the method comprises the steps that a first image and a first text are acquired, the first image comprises an image main body, and the first text is used for describing an expected image main body posture; and adjusting an image main body posture in the first image according to the first text to obtain a second image.

The invention discloses an image frame transmission method, image frame coding equipment, image frame decoding equipment and a medium, relates to the technical field of augmented reality, and discloses the image frame transmission method applied to a coding side, the method comprises the following steps: obtaining coding data of a to-be-transmitted image frame, and determining the data length of the coding data; if the data length is greater than a preset length, performing subpackaging processing on the coded data based on a balanced subpackaging strategy to generate at least two sub-coded data; taking the sub-coded data, the fragment number corresponding to the sub-coded data and the image frame number of the to-be-transmitted image frame as data segments of a data packet; and sending the data packet to a decoding side. On the basis, effective subpackage processing can be carried out on the basis of the to-be-transmitted coded data, meanwhile, after subpackage, auxiliary subpackage information such as a fragment number and an image frame number is added into a data segment, stable subpackage processing is achieved through the auxiliary subpackage information, and the conditions of delay and frame drop of played content are avoided.

The invention relates to an image processing method and device, electronic equipment and a medium. The image processing method comprises the steps that the outer contour of a target body in a to-be-processed first image is expanded outwards and contracted inwards to obtain a second image, and the first image is composed of the target body and a background image; according to the first image, pixels are filled in a first area between external expansion and internal contraction of the outer contour in the second image and fused in the first image, a third image is obtained, and the pixels filled in the first area are related to the background image; performing fuzzy processing on the third image to obtain a fourth image; and fusing the target main body in the first image with the fourth image to obtain a target image. According to the image processing method and device, the first area possibly generating smear is determined, the pixels related to the background image are filled, smear cannot occur between the target body and the background image after the background image is subjected to fuzzy processing, and therefore the image processing effect is improved.

The invention discloses a weld defect detection image enhancement method. The method comprises the following steps: S1, inputting an image I, constructing a weld defect enhancement network, performing four-layer convolution and three-layer deconvolution processing on the image I, calculating a reverse image I 'through I' = 1-I, performing five-layer convolution processing on the reverse image I ', and adding an obtained result and a processing result of the image I; s2, dividing the addition result by two to obtain an average image, segmenting the average image into eight parts, performing self-adjustment curve and reverse image self-adjustment curve processing on the eight segmented images, and combining output three-channel curve parameter mapping to obtain final parameter mapping of each processing; and S3, fitting a self-adjusting curve processing result through an amplitude controller, calling a loss function to enhance the eight segmented images, and restoring and outputting an enhanced image. According to the method, the contrast of the weld defect and the background and the definition of the image are enhanced, and the visual effect of the weld defect is improved.

The invention provides an image processing method and device, equipment and a storage medium, which can be applied to various fields such as animation production. The method comprises the steps of obtaining model parameters of a pre-trained target style model by receiving a first image uploaded by an object; performing facial region segmentation on the first image to obtain a facial image, performing background removal on the first image to obtain an object image, and performing feature extraction on the facial image and the object image to obtain facial feature information and object feature information; first noise adding information is determined, model parameters of the target style model serve as model parameters of a first diffusion model, the facial feature information and the object feature information serve as control information, denoising processing is conducted on the first noise adding information through the first diffusion model, and a first target style image is obtained; and based on the facial feature information, performing facial feature enhancement on the first target style image to obtain a second target style image, thereby improving the image processing effect.