502 results about "Autofocus" patented technology

The invention relates to a tin ring automatic focusing laser soldering tin fixing and 3D welding spot detecting system, and belongs to the technical field of industrial automatic laser processing. The system is characterized in that a tin ring preparation module identifies pins in real time and dynamically optimizes winding parameters through visual positioning and a self-adaptive winding head, and performs defect identification and pre-repair analysis through multispectral imaging; the soldering tin positioning module is used for switching stations through a rotary table, and precise positioning and clamping of a product are realized by combining laser contour sensing and a focusing compensation algorithm; the laser tin soldering module can visually identify tin materials and automatically call welding parameters, laser power and action time are regulated and controlled in real time by establishing a regional heat conduction model, and gradient cooling is implemented after welding; and the 3D detection module adopts dual-mode scanning, constructs a welding spot three-dimensional model based on fusion data, recognizes microcracks through super-resolution processing, and discriminates the welding spot quality. And automation and intellectualization of the whole process from tin ring preparation to welding spot quality detection are achieved.

The invention provides a microscopic automatic focusing method and system based on image gray histogram characteristics, and the method comprises the steps: collecting an image sequence under different focal lengths, carrying out the fuzzy processing, extracting a gray histogram of each frame of image, and calculating the peak position and full width at half maximum of the histogram as the evaluation characteristics of the image definition; calculating the variance of each feature and automatically allocating a weight according to the relative response degree; and finally, comprehensively evaluating the image definition through a weighted definition scoring function, and selecting the focal length corresponding to the image with the optimal score as the optimal focusing position. The method is based on the global features of the gray histogram, is high in anti-noise capability, is adaptive to different imaging scenes through weight adaptive adjustment, is low in calculation complexity, supports real-time focusing, is especially suitable for high-noise fluorescence microscopic imaging scenes, is high in system portability, is low in operation threshold, and effectively improves the accuracy and stability of microscopic automatic focusing.

The invention discloses a reticulocyte recognition and grading system based on a blood smear, and particularly relates to the field of medical cell morphology examination, and the system comprises an image acquisition module, a staining normalization module, an instance segmentation module, an erythrocyte classification module, a reticulocyte grading module and a statistics output module. The image acquisition module adopts an automatic microscope platform to continuously scan the blood smear under a 100-time visual field, acquires a high-quality bright field channel image through an automatic focusing technology, and monitors image definition, contrast and illumination uniformity; the statistical output module is used for calculating the proportion and bluish violet intensity statistics of reticulocytes of each level, and generating a visual quality control result and a diagnostic report; according to the invention, full-automatic processing from samples to reports is realized, interpretability and high classification precision are both considered, subjective difference and omission ratio of manual microscopic examination are significantly reduced, and efficiency and consistency of clinical detection are improved.

Various structures for a hybrid pixel array are disclosed. The hybrid pixel array includes a combination of square photodiode (PD) pixel structures and split PD pixel structures. Square PD pixel structures include one photodiode per pixel unit while split PD pixel structures include two photodiodes per pixel unit. In certain instances, square PD pixel structures are used for green light pixels and split PD pixel structures are used for blue and red light pixels in the hybrid pixel array. The combination of square PD pixel structures and split PD pixel structures provides autofocus capability with higher signal strengths. Various techniques for row addressing and readout from the hybrid pixel array are also disclosed.

A method for detecting circularity of silicon carbide micro powder relates to the technical field of silicon carbide detection, and comprises the following steps: S1, turning on a flowing particle imager, preheating and then carrying out background detection; s2, adding standard particles into the sample pool, and enabling the flowing particle imager to perform automatic focusing; s3, adding the prepared silicon carbide micro powder sample into a sample pool, and detecting by using a flowing particle imager; and S4, storing the detection result, checking the silicon carbide micro powder particle image, and recording the detection result. The preparation of the silicon carbide micro-powder sample comprises the following steps: S31, adding the dried silicon carbide sample into a dry and clean beaker; s32, sequentially adding an impregnating compound, a dispersing agent and deionized water into the beaker; s33, carrying out ultrasonic dispersion; and S34, taking out the uniformly mixed sample. The method can solve the technical problem of detection failure caused by easy agglomeration of the silicon carbide sample when the flowing particle imager is used for detecting the circularity of the silicon carbide micro powder.

The invention discloses an automatic focusing method and system of a cell slide scanner, and relates to the related field of optical equipment focusing technology.The method comprises the steps that a slide is previewed and scanned, a multi-mode preview image and physical height sensing data are synchronously collected and preprocessed, and then the pre-processed image is obtained; the multi-modal preview image and the corresponding height data are input into a pre-training focus prediction model, a focusing strategy graph aligned with a slide coordinate space is output, and the graph comprises the predicted optimal focus offset, the focusing function recommendation identifier, the focus verification confidence coefficient and the search radius of each view point; according to the focusing strategy graph, a final focus is determined through feedforward positioning, limited verification and conditional adjustment, a scanner objective table is controlled to carry out formal scanning at the final focus position, and a complete scanning image of the cell slide is collected. The problems that a traditional focusing method is long in time consumption and poor in adaptability to complex samples with low contrast, high background fluorescence and scratch pollution are solved, and the adaptive capacity of the focusing process is improved.

The embodiments of the present invention are directed to providing a diaphragm module, and a camera module including the same, capable of reducing magnetic interference between an AF magnet and a ring magnet. In addition, according to the embodiments, the arrangement of coils included in the diaphragm module can be diversified.

The invention relates to an automatic focusing method and device and computer equipment. The method is applied to a microscope, and comprises the following steps: in response to an automatic focusing instruction, controlling an objective lens to move according to a first stepping value corresponding to an imaging parameter of the microscope, and acquiring at least two first reference images at different positions of the objective lens; determining a first objective lens position according to an objective lens position and ambiguity features corresponding to the first reference image; controlling the objective lens to move according to the first objective lens position and a preset second stepping value, and acquiring at least two second reference images at different objective lens positions; and according to the objective lens position and the definition characteristic corresponding to the second reference image, determining a target focal plane position and completing focusing. By adopting the method, the focusing efficiency can be improved and the calculated amount can be reduced on the premise of ensuring the focusing accuracy.

The embodiment of the invention provides a model training method and a focusing processing method, and relates to the technical field of terminals. The method includes training a focus model using moire-enhanced image data, and applying the model in a focus processing flow. When a user uses a terminal to shoot an electronic screen and moire patterns appear in an image, so that a traditional automatic focusing method is limited, the phase difference can be obtained through model reasoning, or the phase difference can be obtained based on laser ranging. Therefore, according to the obtained phase difference, the horse is adjusted to reach the corresponding position, focusing is achieved, picture focusing jitter in the terminal is avoided, and a user can shoot a clear image.

A system for automatically focusing ("autofocusing") a microscope during an inner limiting membrane (ILM) peeling maneuver is configured to output low-coherence infrared (IR) light toward the eye during the maneuver. The system includes an interferometer that senses an axial distance between the microscope and ILM and outputs distance signals indicative of the sensed axial distance. An electronic control unit (ECU) is in communication with motor-driven lenses of the microscope and with an IR light source of the interferometer. Execution of the instructions causes the ECU to receive the distance signals from the interferometer. In response to the distance signals, the ECU transmits a focus control signal to the lens(es) to thereby resolve the ILM with a desired depth-of-field. The ECU automatically adjusts a focus level of the microscope on the ILM to accommodate for respiration-related movements of the patient.

A method (200) for focusing an industrial camera (102) fixed on a mobile robot (101) includes: capturing a first target image of a target object (105) with a first step length mobile robot (101) (S201); determining a first ROI image (S202); evaluating the first ROI image to generate a first plurality of sharpness values ​​(S203); determining a single-peak search direction based on the first plurality of sharpness values ​​(S204); capturing a second target image of the target object (105) with a second step length mobile robot (101) according to the single-peak search direction (S205); determining a second ROI image (S206); evaluating the second ROI image to generate a second plurality of sharpness values ​​(S207); and estimating the sharpest focus position based on a portion of the first plurality of sharpness values ​​and a portion of the second plurality of sharpness values ​​(S208). It enables fast and accurate autofocus of industrial cameras (102) without human intervention, effectively improving on-site work efficiency. It is also flexible and applicable to various industrial cameras (102) and lenses, thereby effectively reducing on-site costs.

The invention discloses a portable automatic focusing hyperspectral imaging system and method, and the system comprises a spectral data collection module, a spectral analysis module, a displacement platform, an inertia measurement module, and a control module. Wherein the spectral data acquisition module comprises a focusable lens, an optical splitter, a first collimating lens group and an image sensor. And the spectral analysis module is provided with an electronic shutter, a slit, a second collimating lens group, a grating, a third collimating lens group and an imaging element along the light path direction. And the displacement platform is used for driving the spectral analysis module to perform internal swing-sweeping motion. The control module executes an automatic focusing algorithm, automatic exposure control and multi-source data fusion and preprocessing. According to the invention, focusing precision and spectral data space registration precision in a complex field depth scene can be improved, exposure parameters are intelligently and adaptively adjusted, geometric distortion is compensated, unattended continuous operation is supported, invalid operation cost is reduced, and reliability and availability of hyperspectral data are improved.

The present embodiment relates to a camera device comprising: a fixed part; a first moving part comprising a lens and disposed inside the fixed part; a second moving part comprising an image sensor and disposed inside the fixed part; a first magnet and a second magnet disposed in the fixed part; a first coil disposed in the first moving part and disposed at a position corresponding to the first magnet; and a second coil disposed in the second moving part and disposed at a position corresponding to the second magnet, wherein the first coil moves the first moving part in an optical axis direction, wherein the first magnet is overlapped with the second magnet in the optical axis direction, and wherein the length of the first magnet in the optical axis direction is longer than the length of the second magnet.

The present disclosure relates to a method of contrast-based autofocus of an image capture device, the method comprising: determining if at least one initiation condition is met, comprising: obtaining a first contrast metric representative of a contrast characteristic of at least one region of a first image captured with a first focus setting, the first contrast metric being determined based on one or more first data values corresponding to one or more pixels of the first image; determining a change in the contrast characteristic of the at least one region of the first image based on the first contrast metric with respect to a reference contrast metric obtained from a previous image captured with the first focus setting; determining if the change in the contrast characteristic equals to or exceeds an initiation threshold for the first focus setting, wherein the initiation threshold for the first focus setting is set based at least in part on the first focus setting; and upon determining that at least one initiation condition is met, initiating an autofocus process.

The invention discloses a self-adaptive phase gradient self-focusing imaging method suitable for a strip SAR (Synthetic Aperture Radar), and belongs to the technical field of synthetic aperture radar signal processing. In order to solve the problems that a traditional phase gradient self-focusing PGA algorithm is difficult to be directly applied to a strip SAR due to multi-point interference and phase error space-variant characteristics, and the processing flow of the traditional phase gradient self-focusing PGA algorithm is not matched with that of a conventional RD imaging algorithm and the like, the invention provides a novel imaging compensation method. The method comprises the following steps: firstly, sequentially carrying out range-direction and azimuth-direction dechirp processing on SAR echo data, and carrying out Fourier transform to obtain a preliminary complex image, thereby fundamentally solving the application premise problem of a PGA algorithm; then, detecting and positioning strong scattering points in the complex image, and carrying out self-adaptive partitioning on the image according to the spatial distribution characteristics of the strong scattering points so as to effectively isolate mutual interference among different targets; then, independently applying a PGA algorithm to each sub-block, and accurately estimating and compensating a phase error introduced by non-ideal motion of the platform through an iteration mode; and finally, synthesizing the compensated sub-blocks into an SAR image which is clearly focused. According to the method, the estimation precision of the phase error is remarkably improved, and high-quality self-focusing imaging of the strip SAR data can be realized.

A camera module, an electronic device and a position detection method for the camera module are provided according to the present disclosure. The camera module includes an autofocus mechanism, an adjustable diaphragm mechanism and a linkage mechanism. A focus driving assembly drives a supporting frame to drive a lens to move, so that the autofocus mechanism realizes focusing movement. When the lens moves, the linkage mechanism drives a blade driving assembly to drive a shading blade to move according to a current position of the lens in an optical axis, so as to adaptively change a shading area of the shading blade on the lens. In this way, the focusing movement of the lens can be linked with the aperture adjustment movement of the adjustable diaphragm, thereby realizing the consistent adjustment of the lens focus and the aperture of the diaphragm.

The invention relates to an automatic focusing method and device for a microscope, an operating microscope and a storage medium, and the method comprises the steps: obtaining an image definition value sequence based on the microscope; performing focusing trend feature analysis on the image definition value sequence under multiple time scales to obtain focusing trend features and confidence; reasoning in a preset fuzzy rule base according to the focusing trend characteristic and the confidence so as to dynamically adjust a first step length of a motor in the microscope; and performing automatic focusing on the microscope based on the dynamically adjusted first step length. Through the automatic focusing method and device, the problems of overshoot jitter and low focusing efficiency in related technologies are solved, the overshoot jitter can be eliminated, and the automatic focusing efficiency is 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 invention discloses a block self-focusing ISAR (inverse synthetic aperture radar) imaging method and system based on an FPGA (field programmable gate array), and the method comprises the steps: obtaining ISAR echo data, and sequentially carrying out the preprocessing and global self-focusing processing, thereby obtaining a global self-focusing correction matrix; dividing the global self-focusing correction matrix into a plurality of sub-matrix blocks in a sliding window partitioning manner; performing minimum entropy self-focusing processing on each sub-matrix block to generate an optimized sub-matrix block; performing fast Fourier transform on the optimized sub-matrix blocks in the azimuth direction to generate two-dimensional image data; determining an offset according to an overlapping region of the adjacent sub-matrix blocks, performing cyclic shift processing on the two-dimensional image data corresponding to the current optimized sub-matrix block in the azimuth direction based on the offset, and aligning the two-dimensional image data corresponding to the previous adjacent optimized sub-matrix block; and outputting the aligned corrected two-dimensional image data as an ISAR imaging result. According to the invention, the azimuth focusing performance is improved, and the overall imaging quality is obviously improved.

The invention discloses an automatic focusing method and device, computer equipment and a computer readable storage medium, and relates to the technical field of focusing. The method comprises the following steps: performing multi-target tracking detection on a preview image frame to obtain a face frame set, a human eye frame set and a multi-target tracking parameter; performing scale measurement aperture unification on the face frame set and the eye frame set to obtain a target face frame width and a target eye frame width; calculating a human face available threshold value and a human eye available threshold value; determining a depth-of-field coverage judgment result of the focusing target according to a depth map corresponding to the preview image frame; and according to the target face frame width, the target eye frame width, the multi-target tracking parameter after smoothing normalization, the depth-of-field coverage judgment result, the face available threshold and the eye available threshold, determining a focusing strategy to perform focusing switching. Therefore, the stability of the exported picture, the accurate focus and the smooth switching are ensured through automatic focusing.

The pattern inspection device according to one embodiment of the present invention is characterized by comprising: a related data creation circuit, in a state in which an evaluation substrate on which an evaluation pattern is formed is placed on a table, an autofocus signal serving as a parameter for autofocus control for each height position and a focus evaluation value for evaluating the focus position are acquired while changing the height position of a pattern formation surface of the evaluation substrate. Making related data of the automatic focusing signal and the focusing evaluation value; the automatic focus signal calculation circuit for inspection uses an automatic focus signal and a focus evaluation value for each height position, which are acquired while changing the height position of a pattern forming surface of a substrate to be inspected in a state where the substrate to be inspected on which a graphic pattern is formed is placed on a table, and related data of an evaluation substrate. Calculating an auto-focus signal for inspection that obtains a focus evaluation value greater than or equal to a threshold value on the substrate to be inspected; and an autofocus mechanism for adjusting the height position of the pattern forming surface of the substrate to be inspected to the height position of the pattern forming surface corresponding to the value of the autofocus signal for inspection.

The invention provides a Z-axis driving self-focusing photoetching device, which belongs to the technical field of photoetching or exposure processing, and comprises a Z-axis driving module, an exposure lens barrel and a height measurement laser, the exposure lens barrel is connected to the Z-axis driving module, and the height measurement laser is arranged at the upstream of the exposure lens barrel; and the Z-axis driving module adjusts the height of the exposure lens cone according to the height of the processing surface detected by the height measurement laser, so that automatic focusing of photoetching processing is realized. Exposure self-focusing is set to be exposure head Z-axis independent driving focusing, the effective service life of focusing and efficient focusing efficiency are guaranteed, a synergistic scheme is provided for photoetching or exposure, and popularization and application in the exposure processing fields of PCBs, IC carrier plates, carved large plates and the like are facilitated.

An autofocus system is disclosed. The system includes an illumination source. The system includes an aperture. The system includes a projection mask. The system includes a detector assembly. The system includes a relay system configured to optically couple illumination transmitted through the projection mask to an imaging system. The relay system is also configured to project one or more patterns from the projection mask onto a sample and to transmit an image of the projection mask from the sample to the detector assembly. The system includes a controller including one or more processors configured to execute a set of program instructions. The program instructions are configured to cause the one or more processors to receive one or more images of the projection mask from the detector assembly and determine a quality of the one or more images of the projection mask.

The invention provides a method for automatically focusing image definition of a three-dimensional endoscope camera based on deep reinforcement learning and a self-group iteration upgrading device. The method comprises the following steps: constructing a reinforcement learning environment based on a three-dimensional endoscope camera system information acquisition device; constructing a multi-agent reinforcement learning model; solving the multi-agent reinforcement learning model by adopting a PPO algorithm; taking image data output by a three-dimensional endoscope camera system as the state of the reinforcement learning environment; inputting the state of the reinforcement learning environment into an Actor intelligent agent to obtain a stepping position of a focusing motor; and controlling the focusing motor to complete the focusing process. The invention can effectively solve the problems that the lens moves and the image cannot be clearly imaged in the later stage of the equipment, thereby further improving the utilization rate of the equipment and reducing the medical cost. According to the self-group iteration upgrading device, model training iteration upgrading can be carried out in multiple modes, and the performance of the device is continuously improved.

The present invention provides an autofocus control method and an imaging device. [Solution] The method includes: collecting an image of a subject; determining a first target focus adjustment evaluation area if the image includes a face area; determining a target provisional area and a second target focus adjustment evaluation area excluding the target provisional area in the first target focus adjustment evaluation area, wherein the target provisional area includes at least one of the eye area, glasses area and teeth area; adjusting the focus lens position and collecting an image after the adjustment; obtaining contrast values ​​at each focus lens position in the second target focus adjustment evaluation area; calculating the corresponding focus adjustment evaluation value in the first target focus adjustment evaluation area based on at least the contrast values ​​in the second target focus adjustment evaluation area; determining the target focus position based on the focus adjustment evaluation value and adjusting the focus lens position to the target focus position.

The present disclosure describes lighting methods and systems for lighting, as well as methods and systems for automatically focusing the systems. The system may be used, for example, for microscopes and sequencing platforms. The methods and systems of the present disclosure may provide fast and accurate autofocus, which may reduce errors and improve system throughput.

A kind of driving device, camera module and electronic equipment, the driving device, for camera module, include: rotating piece, drive module and piezoelectric stack, the rotating piece is set to the outer circle of lens assembly of the camera module, the drive module is coupled with the piezoelectric stack, wherein: the piezoelectric stack generates deformation under the excitation of electric signal;The drive end of the drive module is under the deformation of the piezoelectric stack High-frequency vibration is carried out, to make the drive end push the rotating piece rotates, the rotating piece drives the lens assembly movement along the optical axis direction to realize focusing.The above scheme, by the high-frequency vibration generated by piezoelectric stack cooperation drive module to provide the driving force to push the rotating piece rotates, can provide large and stable driving force, so that the driving device is used for camera module can realize the auto focusing of camera module large driving force long stroke, improve the performance of camera module when focusing.

To provide an imaging element including a plurality of pixel blocks comprising a plurality of imaging pixels and AF pixels.SOLUTION: An imaging element comprises: a first substrate including a pixel part in which there are disposed a first pixel 10 which includes a first photoelectric conversion section and outputs a first signal for image generation, a second pixel 10 which includes a second photoelectric conversion section and outputs a second signal for image generation, and a third pixel 13a which includes a third photoelectric conversion section and outputs a third signal for optical system focus detection; and a second substrate including a first control circuit part 30 including a first pixel control section which controls a storage time of the first photoelectric conversion section and a second pixel control section which controls a storage time of the second photoelectric conversion section, and a second control circuit part 50 which is disposed outside of the first control circuit part and controls a storage time of the third photoelectric conversion section, the second substrate being a substrate which is laminated with the first substrate. The first control circuit part 30 is disposed while being opposite to the pixel part in a lamination direction of the first substrate and the second substrate.SELECTED DRAWING: Figure 6

The application provides a focusing adjustment method and device. The method comprises the following steps: acquiring a first image obtained by a light measurement device (LMD) taking a focusing test image displayed on a first display panel, wherein the focusing test image comprises a two-dimensional MTF test pattern and a face pattern; automatically focusing the LMD according to the two-dimensional MTF test pattern in the first image; and adjusting a focusing ring of the LMD according to the face pattern, so that the LMD is in a slightly defocused state of the face pattern, wherein the slightly defocused state of the face pattern is that the first display panel grid points and moire in the first image are invisible, and the face pattern is clearly visible. Through the application, the LMD can quickly reach the slightly defocused state, so that a screen image capable of accurately extracting the brightness of each pixel of the screen body is quickly obtained.