114 results about "Good image" patented technology

The invention discloses a robust reversible watermarking method based on BFMs and adaptive normalization. The method comprises the steps of watermark embedding and watermark extraction. The watermark embedding specifically comprises the steps of generating watermark sequence information, performing integer wavelet transform on a carrier image, extracting a low-frequency region, and calculating BFMs of the low-frequency region; a proper watermark pair is selected through a private key, self-adaptive normalization is carried out according to the watermark pair, and the watermark is embedded in the normalized amplitude; reconstructing an image based on the amplitude of the embedded watermark; constructing a final reversible watermark image based on the reconstructed image; watermark extraction: judging whether the image is attacked or not; for an unattacked image, carrying out watermark extraction based on the auxiliary information; for an attacked image, watermark extraction is carried out by calculating the BFMs of the attacked image. The method has noise resistance and also has relatively good image reconstruction capability.

Systems and methods for implementing smart in-vehicle conferencing with user tracking and speaker prioritization. A controller system of a vehicle may determine, based at least in part on one or more cameras, a plurality of candidate best image sources, determine, from the plurality of candidate best image sources, a best image source for a speaker in the vehicle, determine, based at least in part on the best image source, a video feed, determine, based at least in part on one or more microphones, a plurality of candidate best audio sources, determine, from the plurality of candidate best audio sources, a best audio source for the speaker, determine, based at least in part on the best audio source, an audio feed, and provide, to a conference call line, the video feed and the audio feed.

An anti-peep light source module and an anti-peep display device having an anti-peep function and good image quality are provided. The anti-peep light source module includes a light guide plate, a first light emitting element, a second light emitting element, a plurality of optical microstructures and a first surface. The light guide plate has a first light incident surface and a second light incident surface. Each of the optical microstructures has a first optical surface facing the first light incident surface and a second optical surface facing the second light incident surface. A magnitude of a first included angle between the first optical surface and the first surface and a magnitude of a second included angle between the second optical surface and the first surface gradually change as getting farther away from the first surface.

The utility model relates to a magnetic resonance shoulder joint coil fixing device and a magnetic resonance imaging system. The fixing device comprises a waistcoat worn on a subject; the shoulder joint coils are detachably connected with the shoulders on the two sides of the waistcoat in an attached mode, each shoulder joint coil comprises a coil carrier, a coil and a cable base, the coil carrier is formed by compositing a lining layer, a memory sponge filling layer and an outer protection layer which are sequentially distributed from inside to outside, the coil is arranged in the memory sponge filling layer, and the cable base is arranged on the outer protection layer. And the cable base is positioned outside the coil carrier and is connected with the coil. The magnetic resonance imaging system comprises the magnetic resonance shoulder joint coil fixing device. Compared with the prior art, the magnetic resonance imaging device has the advantages that the fitting degree of corresponding positions of the shoulder joint can be effectively ensured, a good image acquisition signal-to-noise ratio is ensured, and the working efficiency of MR examination of related parts of the shoulder joint can be greatly improved.

This invention discloses a phase compensation method for ship targets using ISAR based on block phase gradient autofocus. The steps include: pulse compression; range cell migration correction; range-oriented block segmentation; block phase compensation; calculation of the offset between adjacent image blocks; and image block alignment and stitching. This invention performs range-oriented block segmentation of the target echo, overcoming the shortcomings of existing technologies that ignore the spatial variation of rotational phase error, leading to defocusing in ship imaging, thus improving the accuracy of phase compensation and achieving good image focusing effect. Because this invention uses a phase gradient autofocus algorithm to compensate for the phase error within each block, and then uses a cross-correlation method to align and stitch the images of each block region, it overcomes the shortcomings of parameter estimation methods, such as complexity, time consumption, and poor real-time performance, and has the advantages of simple implementation, high efficiency, and strong real-time performance.

The present application relates to the technical field of image segmentation, and provides a lung image segmentation method, which comprises the following steps: S1: inputting a lung CT dicom sequence and converting the original dicom sequence into a jpg format image as an original lung image; S2: enhancing the original lung image through an image enhancement Lap-CLAHE algorithm to obtain an enhanced image; and S3: inputting the enhanced image into a U-shaped symmetrical network segmentation model 3D-SDUnet composed of an encoder, a decoder, a DPA double-path attention and a skip connection, and outputting a final segmentation result of the lung image. According to the technical scheme, the lung image is first enhanced, the detail information is improved, and the good image contrast is maintained, so that high-quality input data is provided for subsequent model segmentation. The segmentation model is optimized, the skip connection composed of a dense Swin Transformer block (DATB) and the DPA attention module are added, the information connection between the encoder and the decoder is strengthened, the segmentation precision is improved, and a complete lung model is obtained.

The present invention provides a toner containing colored resin particles of a binder resin and a colorant and an external additive, the binder resin containing a carboxyl group-containing acrylate resin, and the external additive containing carboxyl group-containing acrylate polymer modified metal particles, and a method for preparing the same. By using the specific external additive and the adhesive resin, the prepared toner can still keep stable triboelectrification performance in a high-humidity environment, so that the problems of uneven image concentration and increase of bottom ash are avoided. In addition, the toner has good residual accumulation resistance, residual accumulation on the toner cartridge is reduced, the printing quality is improved, stable printing is still achieved in the high-speed printing process, and good image quality is obtained.

To provide a method for manufacturing a regenerated conductive roller which contributes to good image formation by effectively removing contaminants sticking to the surface of a conductive roller which is used over a long period of time and on which the sticking of the contaminants remarkably occurs without impairing its conductivity.SOLUTION: The method for manufacturing a regenerated conductive roller includes a step of removing a contaminant fixed to the outer surface of the conductive roller having a support having a conductive outer surface and a conductive layer on the outer surface of the support, wherein the conductive layer includes a matrix containing a first rubber and a domain containing a second rubber and an electronic conductive agent, the matrix has a Young's modulus of G1 (MPa) and the domain has a Young's modulus of G2 (MPa), and G1 and G2 satisfy G1 <G2, and the contaminant removing step includes a step of blowing a gas to the surface of the conductive roller to which the contaminant is fixed.SELECTED DRAWING: Figure 1

The invention provides a K-TIG welding penetration state discrimination method and system based on deep learning, and the method comprises the steps: inputting an original molten pool image into a pre-trained image processing parameter prediction model, obtaining a plurality of groups of image processing parameters, generating a plurality of corresponding candidate images, and obtaining the quality confidence through an image qualification evaluation model; the optimal image processing parameters are selected to process the original molten pool image, and a target image is obtained; and comprehensively judging whether the current welding state meets a preset penetration condition or not by combining the geometric characteristic parameters of the molten pool and the current welding process parameters. The method comprises the following steps: automatically generating multiple groups of image processing parameters and candidate images for an original molten pool image by introducing an image processing parameter prediction model; the quality of each candidate image is evaluated through the image qualification evaluation model, and the optimal image processing parameter is screened according to the quality confidence of each candidate image, so that the accuracy of molten pool image extraction is greatly improved, and the improvement of the accuracy of penetration state recognition is facilitated.

For particularly good image quality, a method for correcting artifacts caused by extrafocal radiation (=OFR) in an X-ray image of an object is provided, comprising the following steps: X-ray image of the object is acquired by an X-ray detector with a large number of detector pixels, the object being irradiated by X-ray radiation emitted from an X-ray tube; provision of a primary X-ray spectrum of the X-ray radiation and provision of an estimated or determined extrafocal radiation spectrum for the primary X-ray spectrum; determination of an image X-ray spectrum from the X-ray image for each image pixel; division of the image X-ray spectrum into a high-energy component and a low-energy component for each image pixel.Determining a weighting value for each image pixel by calculating the quotient between high-energy irradiation and total energy irradiation, and determining a weighted image from the weighting values ​​of the image pixels; providing a high-energy image from the high-energy components; processing the low-energy components for each image pixel with respect to the extrafocal radiation component using at least one image processing algorithm, taking into account image features and / or structures of the high-energy image; and recombination of the high-energy component and the processed low-energy component for each image pixel and creating a corrected X-ray image from this.

The application discloses a multi-modal image data automatic recognition system and method based on machine learning, relates to the technical field of image data processing, and comprises the following steps: image data is called, pixel point feature information is extracted, and a pixel point feature sequence is constructed; feature matching degree analysis is performed on the pixel points, and hierarchical division is performed; spatial feature joint index analysis is performed on the pixel points in the same layer, and hierarchical pixel correlation index is obtained by integrating the analysis data; interlayer pixel classification analysis is performed on the pixel points between adjacent layers, pixel classification correlation analysis is performed on the adjacent layers, and pixel classification correlation index of the adjacent layers is determined; correlation evaluation of pixel layer correlation logic is performed on non-repeated image data, and the best image matching combination is output; the application realizes accurate recognition of multi-modal image data, reduces the misrecognition rate and interference rate caused by coarse recognition and coarse matching, and improves the accuracy of image recognition.

A photon stream detector having high image acquisition performance and a CT device. The photon stream detector comprises a scintillator (100), a photon stream sensor (200), a main control board (400), and a substrate (300), wherein the scintillator (100) is coupled to the photon stream sensor (200), and an output end of the photon stream sensor (200) is connected to the main control board (400). The scintillator (100) is configured for converting an incident X-ray into visible light. The photon stream sensor (200) is configured for converting the visible light into an electrical signal, then amplifying, shaping, integrating and counting same to generate an integration signal and a counting signal, and outputting image data after data conversion and processing. The main control board (400) is configured for providing a clock signal, a working power supply, and data analysis and transmission. When the photon stream detector performs detection, the photon stream sensor (200) simultaneously generates an integration signal and a counting signal, forms image data after data conversion and processing, and uploads the image data to an image acquisition device, thereby achieving good image acquisition performance in the entire dose range.

The invention discloses a coal mine safety monitoring system and method based on big data analysis, and belongs to the technical field of mine safety monitoring. A video processing chip integrated in the explosion-proof distribution box is used for segmenting the monitoring video to obtain a monitoring image, the hardware core of the processing module is a server cluster deployed in a ground data center, and a processor in the server cluster is used for carrying out image enhancement processing on the collected monitoring image; and whether the image quality after the image enhancement processing accords with the preset image quality is judged through an image quality detection chip built in the server. The method has the advantages that the peak signal-to-noise ratio of the image is increased by combining weighted guide filtering and FPGA edge detection, dead-corner-free comprehensive supervision of underground coal mine operation is achieved through global comprehensive monitoring, and coal mine monitoring images with good image quality can be obtained under the condition that the actual environment is severe.

For particularly good image quality, a method for correcting artifacts caused by extrafocal radiation (=OFR) in an X-ray image of an object is provided, comprising the following steps: X-ray image of the object is acquired by an X-ray detector with a large number of detector pixels, the object being irradiated by X-ray radiation emitted from an X-ray tube; provision of a primary X-ray spectrum of the X-ray radiation and provision of an estimated or determined extrafocal radiation spectrum for the primary X-ray spectrum; determination of an image X-ray spectrum from the X-ray image for each image pixel; division of the image X-ray spectrum into a high-energy component and a low-energy component for each image pixel.Determining a weighting value for each image pixel by calculating the quotient between high-energy irradiation and total energy irradiation, and determining a weighted image from the weighting values ​​of the image pixels; providing a high-energy image from the high-energy components; processing the low-energy components for each image pixel with respect to the extrafocal radiation component using at least one image processing algorithm, taking into account image features and / or structures of the high-energy image; and recombination of the high-energy component and the processed low-energy component for each image pixel and creating a corrected X-ray image from this.

To provide an ink set which can obtain a good image density even when a pigment ink is used and can obtain high friction fastness.SOLUTION: An ink set comprising: a pre-processing fluid; an aqueous pigment ink; and a post-processing fluid, wherein the pre-processing fluid contains an organic acid and an amine compound, and the post-processing fluid contains cationic resin particles.SELECTED DRAWING: Figure 1

The present application relates to the technical field of machine vision, in particular to a kind of robust visual detection system of ton bag goods based on multi-cluster feature fusion and posture correction drive, the system includes non-local mean enhancement module, multi-feature clustering fusion module, geometric feature extraction module, dominant posture clustering module, posture correction transformation module and goods segmentation determination module, non-local mean filtering is carried out to the original image of ton bag goods to obtain enhanced image, the present application is equipped with non-local mean enhancement module and multi-feature clustering fusion module, can realize the efficient enhancement of ton bag goods image and multi-dimensional feature fusion, the space alignment weighted superposition of color cluster and texture cluster is generated Fusion segmentation chart, let the feature representation of ton bag goods homogeneous region be more comprehensive, accurate, effectively improve the integrity and effectiveness of geometric feature extraction, so that the feature analysis ability of system to ton bag goods image is significantly improved.

The present disclosure relates to a classification model training method, an image classification method, an apparatus, a medium and an equipment. The training method comprises: pre-training a visual language model to obtain an original image classification model; and fine-tuning the original image classification model according to preset category prompt information and dynamic category prompt information learned by the original image classification model in a fine-tuning process to obtain a target image classification model. The preset category prompt information is decoupled from the image end, data enhancement on the language side is achieved, the relationship between the image and the language is better captured, the generalization and classification effect of the image classification model are improved, the model training is more stable, and the convergence is faster. In addition, a small amount of training data is used to pre-train the visual language model, and then the original image classification model obtained by pre-training is fine-tuned according to the preset category prompt information and the dynamic category prompt information. In this way, a good image classification model can be obtained with a small amount of training data.

The utility model discloses a coated lens convenient for adjusting aperture size, comprising a lens support, a lens module arranged on the lens support, a flange plate fixedly connected on the lens support through a screw, a cover plate rotatably connected on the flange plate, and light holes arranged in the middle parts of the lens support, the flange plate and the cover plate. The flange plate is provided with a regular hexagon frame groove located outside the light transmitting hole, each edge groove of the regular hexagon frame groove is slidably connected with a protruding block, the protruding blocks are fixedly connected with light shielding plates, the light shielding plates are one-sixth parts of regular hexagons of the same size, the tops of the light shielding plates are fixedly connected with protruding columns, and the protruding columns are fixedly connected with the flange plate. A sliding groove matched with the protruding column is formed in the cover plate. According to the utility model, a high-efficiency coating technology and a precise aperture adjusting mechanism are combined together, so that the overall optical performance of the lens can be remarkably improved, and the optimal image quality can be ensured to be obtained under various shooting conditions.

To provide a method for manufacturing a regenerated elastic roller which contributes to good image formation by efficiently removing contaminants sticking to the surface of an elastic roller having an elastic layer on the outer surface.SOLUTION: A method for producing a recycled elastic roller includes a contaminant removing step of removing a contaminant adhering to an outer surface of an elastic roller including a support having a conductive outer surface and an elastic layer on the outer surface of the support, wherein the outer surface of the elastic layer includes at least a first rubber and a second rubber, and a glass-transition temperature Tg1 (°C.) of the first rubber and a glass-transition temperature Tg2 (°C.) of the second rubber satisfy Tg1> Tg2 or Tg2> Tg1, the method for manufacturing a recycled elastic roller is characterized in that the contaminant removing step includes a step (A) of removing the contaminant in a state where Ts satisfies Tg2 <Ts <Tg1 or Tg1 <Ts <Tg2, where Ts (°C.) is the temperature of the outer surface of the elastic roller to which the contaminant is fixed.SELECTED DRAWING: Figure 1

The present application relates to waste incineration technical field, specifically to a kind of incinerator combustion state monitoring method and system, comprising: the flame combustion image in the continuous acquisition incinerator, obtain flame combustion image sequence;The pixel change quantity between adjacent two frames of flame combustion image is calculated, when pixel change quantity reaches preset pixel change threshold, capture current frame flame combustion image;Current frame flame combustion image and the flame position coordinates of pre-stored flame combustion good image are compared and analyzed, generate flame adjustment signal;According to flame adjustment signal, drive actuator to adjust the flame combustion state in incinerator.The present application is by collecting flame image, only when pixel change reaches threshold triggers analysis, comparison good image generates adjustment signal automatic adjustment, realize intuitive real-time low-cost closed-loop control, overcome data not intuitive, artificial lag defect, improve incineration stability and automation.

An optical lens assembly includes a phase retarder; a partial-reflective-partial-transmissive element; and in order from a visual side to an image source side: an absorptive polarizer, a reflective polarizer, a first lens with refractive power, a second lens with refractive power, and a third lens with positive refractive power; wherein the phase retarder and the partial-reflective-partial-transmissive element are sequentially arranged from the visual side to the image source side, and are disposed between the reflective polarizer and the third lens. The optical lens assembly may become lightweight and have good image quality when satisfying a specific condition.

The invention discloses a multi-modal image data automatic identification system and method based on machine learning, and relates to the technical field of image data processing.The method comprises the steps that image data are called, pixel point feature information is extracted, and a pixel point feature sequence is constructed; feature matching degree analysis is carried out on the pixel points, and hierarchical division is carried out; performing spatial feature joint index analysis on pixel points in the same hierarchy, and performing integration according to analysis data to obtain a hierarchy pixel correlation index; carrying out different-level pixel classification analysis on the pixel points between the adjacent levels, carrying out pixel classification correlation analysis on the adjacent levels, and determining pixel classification correlation indexes of the adjacent levels; performing correlation evaluation of pixel level correlation logic between the non-repeated image data, and outputting an optimal image matching combination; according to the invention, accurate identification of multi-modal image data is realized, the false identification rate and interference rate caused by rough identification and rough matching phenomena are reduced, and the accuracy of image identification is improved.

The present application relates to image processing method, specifically to a kind of automatic exposure method based on FPGA space dynamic target adaptive weight, for solving the shortcoming that traditional exposure method cannot always lock target in high weight area when facing dynamic target, when target is not in the weight area set, and automatic exposure adjustment cannot achieve good exposure effect.The automatic exposure method based on FPGA space dynamic target adaptive weight is by dividing the image to be processed into multiple sub-regions of equal size, and pre-processing the target part and the background part are segmented;Then, according to the proportion of the target part in each sub-region, the adaptive weight setting is performed, and the average gray of the image to be processed is calculated;Then, according to the deviation between the average gray and the preset expected gray, the exposure adjustment amount is calculated to adjust the exposure time until the best image brightness is achieved, and finally the image data output is completed.

The utility model relates to an optical adaptive lens and a medical endoscope. The optical adaptive lens sequentially comprises a first lens with positive focal power, a second lens with negative focal power, a third lens with positive focal power and a fourth lens with negative focal power from an object side to an image side along an optical axis, the first cemented lens group has negative focal power, the first cemented lens group comprises a second lens, a third lens and a fourth lens which are cemented in sequence, the second lens has negative focal power, the object side surface of the second lens is a concave surface, the third lens has negative focal power, and the fourth lens has positive focal power; and the second cemented lens group has negative focal power, the second cemented lens group comprises a fifth lens and a sixth lens which are cemented, and the image side surface of the sixth lens is a convex surface. According to the optical adaptive lens, various aberrations such as chromatic aberration and distortion can be corrected, the imaging resolution and the image detail sharpness can be improved, the size of the optical adaptive lens can be compressed, and good imaging quality and miniaturization design can be considered.

The present application relates to the technical field of image detection, in particular to a panoramic image detection method and device based on image stitching, comprising: performing edge detection processing on each local detection image to obtain an edge image; extracting feature points from the edge image to obtain a feature point set of each local detection image; calculating the number of feature points and the proportion of feature point types in the overlapping area of the images according to the feature point set of each local detection image; and determining the stitching priority of the local detection image according to the number of feature points and the proportion of feature point types, combined with the image definition difference value. The present application determines the stitching priority according to the number and proportion of feature points, which helps to select the best image order and area in the stitching process, thereby reducing stitching errors and visual inconsistency and improving the overall quality of panoramic images.

To provide a method for manufacturing a regenerated conductive roller which contributes to good image formation by effectively removing contaminants sticking to the surface of a conductive roller which is used over a long period of time and on which the sticking of the contaminants remarkably occurs without impairing its conductivity.SOLUTION: The method for producing a regenerated conductive roller includes a step of removing contaminants fixed to the outer surface of a conductive roller having a support having an outer surface with conductivity and a conductive layer on the outer surface of the support, wherein the conductive layer includes a matrix containing a first rubber and a domain containing a second rubber and an electronic conductive agent, the matrix has a Young's modulus of G1 (MPa) and the domain has a Young's modulus of G2 (MPa), G1 and G2 satisfy G1 <G2, and the contaminant removing step includes a step of spraying a liquid to the surface of the conductive roller to which the contaminants are fixed.SELECTED DRAWING: None

The application provides a spatial filtering method, system and medium based on an intelligent CMOS image sensor, the method comprising: collecting an image based on the CMOS image sensor, and dividing the collected image into units to obtain a plurality of pixel units; configuring a plurality of spatial filtering kernels, constructing a plurality of filtering modes based on the plurality of spatial filtering kernels, and configuring a corresponding filtering mode based on filtering condition information; performing pixel current integration processing on the spatial filtering kernel based on the filtering mode configuration integration time ratio to obtain processing data; controlling the capacitance polarity switching based on the processing data to obtain a filtering result; evaluating the filtering result based on pixel evaluation standard information, and dynamically adjusting the integration time ratio based on the evaluation result; through precise control of the integration time ratio, pixel-level parallel spatial filtering calculation of the CMOS image sensor is realized, a plurality of configurable filtering algorithms are supported, and high frame rate and good image quality indicators are maintained.

The invention discloses an optical module and semiconductor wafer defect detection equipment with the same, and relates to the technical field of wafer detection. The optical module comprises a first lens, a second lens, a third lens, a fourth lens and a fifth lens which are sequentially distributed in the direction from the object side to the image side, the first lens and the second lens are glued, the third lens and the fourth lens are glued, and an aperture diaphragm is arranged in the object side direction of the first lens; the first lens is a biconvex lens with positive focal power, the second lens is a meniscus lens with negative focal power, the third lens is a biconvex lens with positive focal power, the fourth lens is a biconcave lens with negative focal power, and the fifth lens is a meniscus lens with negative focal power. The optical module provided by the invention can have a large field of view of 40mm, is convenient for subsequent observation and detection, and is good in image quality.

The present invention provides an image processing apparatus capable of producing a good image with the color of the background removed. [Solution] The image processing apparatus comprises an image acquisition unit that acquires image data obtained by reading with an image reading device, and a control unit that, when the background region included in the image data is chromatic, adjusts the color space of the image data to make the background region achromatic, and removes the color of the background region included in the adjusted image data.

To provide a display device capable of providing an excellent image.SOLUTION: A display device is provided. A display device includes a semiconductor substrate, a plurality of light emitting elements disposed on the semiconductor substrate, and a plurality of nano patterns disposed on the plurality of light emitting elements and overlapping the plurality of light emitting elements, wherein the plurality of light emitting elements include a first light emitting element disposed at a center and a second light emitting element disposed at one side of the first light emitting element, the plurality of nano patterns include a first nano pattern overlapping the first light emitting element and a second nano pattern overlapping the second light emitting element, and the first nano pattern includes a first structure and a second structure. The second nano pattern may include a third structure and a fourth structure, the first structure and the second structure may have the same width, and the third structure and the fourth structure may have different widths.SELECTED DRAWING: Figure 17