22results about How to "Reduce image quality" patented technology

The invention discloses an image recognition system based on machine vision, which comprises a deep learning model, and is characterized in that an image recognition module comprises an image data sensing module for receiving and processing original image data, capturing an image from a camera or an image file, and performing preliminary format conversion and preprocessing; the image feature extraction module is used for converting the image into a form which can be understood by a machine based on a convolutional neural network; the online learning framework is used for dynamically adjusting model parameters according to data input in real time; the environment adaptability adjusting module is used for dynamically adjusting image processing parameters, changing a feature extraction weight, adjusting a learning rate and adjusting an identification strategy according to environment changes; the recognition and classification module is used for executing object recognition and classification tasks based on the extracted features and the learned model; the parameter mapping unit is used for mapping the environment parameters to specific parameter adjustment of the model; and the environment adaptability development unit is used for extracting useful information from the environment data and converting the useful information into an instruction of an adaptability adjustment strategy.

The invention relates to the technical field of infrared optical systems, and particularly discloses a small-F-number refrigeration type athermalization medium-wave infrared optical system which comprises seven coaxial lenses, the seven lenses are divided into a front group and a rear group from the object space to the image space, and the front group is composed of a first front group lens, a second front group lens and a third front group lens; the rear group consists of a rear group lens I, a rear group lens II, a rear group lens III and a rear group lens IV; a secondary imaging structural form is adopted, 100% cold diaphragm efficiency is met, stray light can be effectively eliminated in cooperation with a corresponding optical machine structural design, the system automatically adjusts the position of the lens through real-time monitoring of the temperature sensor and an intelligent temperature compensation algorithm, it is ensured that the optical system always keeps high-precision imaging within the temperature fluctuation range, and the optical system is high in imaging precision. Image surface drift is avoided, the focal length change is accurately calculated and compensated, so that the optical system can adapt to wide temperature fluctuation, and the imaging quality is ensured not to be influenced.

The invention discloses an embedded firmware camera data modification method and device, a medium and equipment, and relates to the technical field of computer vision, and the method comprises the steps: collecting image data in real time, and carrying out the primary processing; a frame difference method and a background modeling algorithm are adopted to carry out region division and priority distribution on the image data after primary processing, and a region priority mapping table is generated; extracting feature points of a high-priority motion area in the optimized image data through an optical flow method, and calculating a motion vector between continuous frames; according to the calculated motion vector between the continuous frames, an event-driven frame processing mechanism is triggered, and the frame rate and the processing precision are automatically adjusted; through the motion vector extracted through the optical flow method, the motion speed of the object can be calculated in real time, the frame rate and the processing precision are dynamically adjusted according to the motion speed, it is ensured that enough details are captured in the rapid motion process, and processing resources are saved in the static process.

The invention relates to a laminated imaging method and device for reducing a data sampling rate, and the method comprises the steps: scanning a sample through a particle beam, so as to collect diffraction data meeting a preset sampling rate condition; initializing a sample potential function and a beam spot function by using the inverted space matrix meeting a first preset condition and the inverted space pixel size meeting a second preset condition; combining the pixels of the diffraction data obtained by the algorithm, and calculating a loss function with experimental diffraction data; and if the loss function is not converged to the target value, optimizing the initialized sample potential function and beam spot function to obtain the optimized sample potential function and beam spot function. And repeating the operation, and calculating an iteration process to obtain a high-quality lamination imaging result. Therefore, the problem that the data acquisition time of the laminated imaging method is remarkably longer than that of other imaging methods is solved.

This utility model discloses a conveyor belt under-surface cleaning and wetting device, relating to the field of conveyor belt crack detection technology. It includes a support frame positioned between the upper and lower belts. Lifting components are fixedly installed at both ends of the bottom of the support frame, located on both sides of the conveyor belt. A cleaning component for cleaning the under-surface of the upper belt is located on the front side of the top of the support frame, and a drying component for drying the under-surface of the upper belt is located on the rear side. This conveyor belt under-surface cleaning and wetting device can remove interfering materials such as coal ash beforehand through the cleaning component, avoiding misjudgment of crack features by the detection equipment. The drying process eliminates water residue, preventing water film from interfering with the imaging quality of the optical detection equipment and avoiding the risk of slippage caused by a decrease in the friction coefficient between the belt and the drive roller. While ensuring coal transportation efficiency, it provides a clean and dry detection environment for conveyor belt hazard monitoring, effectively improving the accuracy of crack identification.

The utility model provides a visual detection device for a silicon steel sheet of a motor iron core, which comprises a supporting and assembling component, a lower-layer bearing component, an auxiliary lighting component, an upper-layer bearing component, a direction adjusting component and a visual video recording component. The feature information is basic data for subsequent quality detection, classification, identification and other applications and is crucial for ensuring the precision and quality of the silicon steel sheet, the light-emitting lamp body emits light at the bottom of the lighting lamp holder, the image quality problem caused by insufficient light or uneven light is avoided, and the quality of the silicon steel sheet is improved. Through the mutual cooperation of the transverse slide rail, the transverse seat block, the vertical slide rail and the bearing seat frame, the position and angle of the video recording probe can be accurately adjusted, the accuracy of the video recording process is ensured, and unqualified products can be timely found and eliminated, so that the quality and production efficiency of a motor iron core silicon steel sheet are ensured.

The invention provides an endoscope tube end, an endoscope tube and an endoscope, the endoscope tube end is used for being installed at the far end of an endoscope tube main body, the endoscope tube main body comprises an inner tube and an outer tube arranged outside the inner tube in a sleeving mode, an annular channel is formed between the inner tube and the outer tube, the endoscope tube end comprises an end body, the end body is provided with a first channel, and the first channel is used for being communicated with the annular channel; a first mounting groove and a flow guide hole are formed in the front end, away from the endoscope tube body, of the first channel and communicated with the first channel; the camera and the at least one light source are arranged in the first mounting groove, and the light source is arranged on the periphery of the camera; the lens assembly comprises a lens body and at least one shading piece, and the shading piece is installed on the lens body; the lens body is hermetically connected to the front end of the first mounting groove; and the shading piece is blocked between the lighting surface of the camera and the light source. The end of the endoscope tube is not prone to optical crosstalk, and the imaging quality is good.

The invention relates to a printing control method which comprises the steps that a printing control system feeds back current layer printing end information to an image monitoring system, and the image monitoring system collects and recognizes a current layer printing image and then feeds back defect information of the current layer printing image to the printing control system; if no defect is fed back by the current layer, the printing work continues to be executed; when the image monitoring system feeds back that the current layer printing image has defects, the printing control system controls the nozzle to move to a test page printing area to execute nozzle state detection and receives nozzle state information fed back by the image monitoring system; according to defect information fed back by the image monitoring system and nozzle state information, the printing control system executes corresponding printing image defect compensation printing; and repeatedly executing until the whole printing task is completed. The invention further relates to a printing control system and a computer readable storage medium. According to the scheme, the problem that the nozzle is blocked or damaged to ensure that the whole printing operation can be completed at a time can be solved.

The invention discloses a display method and device based on virtual resolution and electronic equipment. The method comprises the steps of obtaining graphics processor information of a hardware platform, determining a virtual resolution based on the graphics processor information, rendering a display image to a frame cache based on the virtual resolution in a first rendering stage, and performing enhanced rendering on the display image in the frame cache in a second rendering stage, and outputting the rendered display image to a display system. According to the method, the software rendering pressure is effectively reduced through the virtual resolution, the rendering fluency is improved, and the image quality of the display image with the reduced image quality in the software rendering stage is improved through enhanced rendering, so that the display image quality is improved while the rendering fluency is improved.

This invention relates to an X-ray adaptive imaging method based on array microaperture modulation, comprising a cold cathode flat-panel X-ray source, a first microaperture beam element, a test object, an optional second microaperture beam element, an optional third microaperture beam element, and a detector arranged sequentially. All components in the system are geometrically coaxial. The first microaperture beam element is installed at the X-ray exit window of the cold cathode flat-panel X-ray source, the optional second microaperture beam element is installed close to the test sample side, and the optional third microaperture beam element is installed close to the front side of the detector. The method includes: omnidirectional X-rays emitted from the cold cathode flat-panel X-ray source pass through the first microaperture beam element to obtain a quasi-parallel beam; the quasi-parallel beam passes through the test object, and after passing through the optional second microaperture beam element to eliminate scattering, it finally reaches the detector for imaging after passing through the third microaperture beam element.

The utility model discloses a microscope objective and a microscope, and relates to the technical field of optics, the microscope objective is provided with an object side and an image side which are correspondingly arranged along the optical axis direction, and the microscope objective comprises a first lens to a thirteenth lens which are sequentially arranged from the object side to the image side; wherein the first lens has negative focal power, the second lens and the third lens are glued to form a first lens group, the first lens group has negative focal power, the fourth lens has positive focal power, the fifth lens and the sixth lens are glued to form a second lens group, the second lens group has positive focal power, and the seventh lens and the eighth lens are glued to form a third lens group. The ninth lens, the tenth lens and the eleventh lens are sequentially glued to form a fourth lens group, the fourth lens group has positive focal power, the twelfth lens has positive focal power, and the thirteenth lens has positive focal power. According to the scheme, the chromatic aberration is improved by designing, gluing and arranging the lenses.

The invention relates to the technical field of image display, in particular to a metal metallographic structure image classification display method and system. The method comprises the following steps: preprocessing a metal metallographic structure image, calculating and evaluating an image feature index Tzls, quantifying the overall quality of the metal metallographic structure image, automatically screening low-quality and repeated images, and reducing stored and processed invalid data; classifying the metal metallographic structure images by using two characteristics of structural factors and defect factors of the metal metallographic structure; the metal metallographic structure image is classified and graded by calculating and evaluating a structure characteristic index Jtzs and a defect characteristic index Qtzs; and all grade division results are transmitted to the image classification display module, so that timely and accurate data transmission is ensured, a user searches and filters according to a structure grade or a defect grade, a required image is quickly found, and the working efficiency is improved.

The present invention discloses a remote driving image real-time transmission method, system, control device and storage medium, wherein the remote driving image real-time transmission method dynamically adjusts the bit rate of image data transmission according to the radio signal conditions and the packet loss rate, appropriately reduces the image quality without affecting the staff's observation of the vehicle's surrounding environment, and even converts the image into a grayscale image when the signal quality is extremely poor, so that the staff can observe the environmental image around the vehicle in a timely and stable manner under various conditions, thereby accurately performing remote control of the vehicle.

The embodiment of the invention provides test equipment and a test system. The testing equipment comprises a human eye-like camera, the human eye-like camera comprises a cornea-like lens, a dimming film and at least one imaging lens, the dimming film is located behind the cornea-like lens to simulate human eye pupils, and the imaging lens is located on the light emitting side of the dimming film; the first driving assembly is electrically connected with the human eye-like camera so as to drive the human eye-like camera to rotate in the vertical direction; and the second driving assembly is electrically connected with the human eye-like camera so as to drive the human eye-like camera to rotate in the horizontal direction.

The present application discloses a device for testing the impact resistance of a tool alloy material, which includes a test bench for placing a product to be tested; a pendulum, which can rotate under the action of gravity to impact the product to be tested on the test bench; a pendulum drive assembly, which is arranged above the pendulum, and the pendulum drive assembly is used to pull the pendulum up to a preset height; a camera protection tube, which is arranged above the test bench, and a camera assembly is connected to the camera protection tube along a vertical sliding connection, and the camera assembly can move in or out of the camera protection tube; a transmission rope, which is connected between the camera assembly and the pendulum drive assembly, when the pendulum drive assembly drives the pendulum to rise, the camera assembly can synchronously descend to a preset height under the action of its own weight, and when the pendulum descends, the camera assembly can be pulled up to the camera protection tube through the transmission rope. The present application can effectively perform an impact test on alloy materials and can accurately judge the state of the alloy materials after the impact test.

The invention discloses a preview imaging method, device and equipment for a transparent fluorescent sample, and the method comprises the steps: carrying out the shooting of a transparent fluorescent slice, and obtaining a transparent preview; switching a fluorescent light filter or a light source until a plurality of fluorescent channels for developing the transparent fluorescent section are obtained; determining a preview scanning area according to a sample position range in the transparent preview, selecting a target fluorescent channel from a plurality of fluorescent channels to perform coverage scanning on the transparent preview based on the determined preview scanning area to obtain a plurality of view images, and splicing the plurality of view images to generate a large preview scanning image; zooming the large preview scanning image to be the same as the preview scanning area in size, and replacing a corresponding area in the transparent preview image with the zoomed large preview scanning image to obtain a replaced preview scanning image; and identifying and framing a sample scanning area in the preview scanning image to obtain a target preview image. A sample scanning area can be clearly identified and framed, and the accuracy and efficiency of scanning are improved.

The invention relates to the field of computer technology and optics, and discloses a multiplexing coaxial hologram reconstruction method based on an all-optical diffraction network, which comprises the following steps: holographic recording: after a plane wave with the wavelength of lambda passes through a polarization splitting prism, splitting two beams of light with mutually orthogonal polarization states, and respectively irradiating the two beams of light onto pictures of two recorded objects, the two beams of light coincide through a prism, a holographic plate is placed at the coincidence position of the two light fields, and an overlapped recording multiplexing coaxial hologram after interference of object light waves and reference light waves is obtained by recording the intensity of the object light waves and the intensity of the reference light waves on a plane; and through the reproduction of the all-optical diffraction network, that is, the recording multiplexing coaxial holograms are irradiated by plane waves with the same wavelength, the recording multiplexing coaxial holograms are respectively sent into the parallel trained all-optical diffraction network by the polarization splitting prism, and the reconstruction and reproduction of the multiplexing coaxial holograms are completed. According to the method, the multiplexing coaxial hologram can be successfully reconstructed, and twin images are eliminated.

The invention relates to the technical field of infrared optical systems, and specifically discloses a small F-number refrigerated athermal medium-wave infrared optical system, comprising: seven coaxial lenses, wherein the seven lenses are divided into a front group and a rear group from the object side to the image side, wherein: the front group consists of a front lens group 1, a front lens group 2, and a front lens group 3; the rear group consists of a rear lens group 1, a rear lens group 2, a rear lens group 3, and a rear lens group 4; the invention adopts a secondary imaging structure to meet 100% cold aperture efficiency, and can effectively eliminate stray light in conjunction with a corresponding optical-mechanical structure design; through real-time monitoring of a temperature sensor and an intelligent temperature compensation algorithm, the system automatically adjusts the lens position to ensure that the optical system always maintains high-precision imaging within the temperature fluctuation range, avoiding image plane drift; and through accurate calculation and compensation of focal length changes, the optical system can adapt to a wide range of temperature fluctuations to ensure that the imaging quality is not affected.

The invention relates to a projector telescopic lens control method and system and computer equipment, and the method comprises the steps: obtaining lens position detection data and real-time temperature monitoring data of a projector, and carrying out the correlation analysis, and obtaining a corresponding real-time lens state group; acquiring an initial projection image of the projector, and performing predictive analysis on the initial projection image according to the lens position detection data to obtain a corresponding image quality trend; performing lens adjustment analysis on the real-time lens state group and the image quality trend to obtain a corresponding initial lens control scheme; performing image relation construction on the initial projection image through a preset concentric circle automatic matching algorithm to obtain a homography relation between corresponding planes; performing parameter analysis based on the homography relation to obtain corresponding lens fine tuning parameters; and comprehensively analyzing the initial lens control scheme and the lens fine adjustment parameters to obtain a corresponding global telescopic lens adjustment strategy. According to the invention, various influence factors can be comprehensively considered, and accurate control of the projector lens is realized.

The present invention provides an optical image stabilization camera module and an optical image stabilization method, wherein the optical image stabilization camera module comprises a camera module, wherein the camera module comprises at least an image sensor and a lens assembly; a bearing component for bearing the camera module; and a driving component for driving the bearing component to drive the camera module to rotate around an axis parallel to the plane of the image sensor. The optical image stabilization camera module and the optical image stabilization method of the present invention provide an anti-shake compensation capability by driving the camera module to perform a tilting motion around an optical axis, and can achieve a larger anti-shake compensation range than a conventional lens translation type in terms of structure.

The invention discloses a method and system for detecting the appearance quality of a substrate, and the method comprises the following steps: S1, presetting the illuminance of the substrate to be 70lux-100lux, and adjusting the power inputted into an LED lamp; s2, the industrial camera is installed at the position where the central axis of the substrate is projected to the installation plane of the LED lamp as a symmetric line and the symmetric line is symmetrical to the installation position of the LED lamp; s3, collecting a substrate image, and preprocessing the substrate image based on photometric stereology; s4, based on a HALCON machine vision algorithm, respectively designing image enhancement algorithms for a defect part of the substrate and a stain part of the substrate, and detecting the preprocessed substrate image to determine surface defects and oil stains of the substrate; the method has the advantages that the inclined light source is designed to detect conventional defects and oil stains at the same time; an image with low noise and full image details is generated based on photometric stereo processing; and omission detection of an algorithm aiming at substrate surface defects and oil stains is avoided.

The invention discloses an image super-resolution method, and belongs to the technical field of image processing, and the method comprises the following steps: S1, obtaining an original low-resolution image, determining a resolution threshold value, and generating a low-resolution data set through the resolution threshold value; s2, performing iterative learning on the low-resolution data set for a plurality of times by using a color iteration model to obtain a super-resolution factor; and S3, processing the original low-resolution image by using the super-resolution factor. According to the method, the pixel condition of the low-resolution image can be restored, the color saturation is improved, the details of the pixels are restored, and more accurate image reconstruction is realized.