880 results about "Automatic focus" patented technology

The invention provides a microscope automatic focusing method and device and a computer readable storage medium, and the method comprises the steps: S1, capturing a laser reflection light spot image on a sample through a camera, so as to determine the focusing position of an objective lens; s2, integrating the light spots through threshold processing and morphological operation, analyzing the gradient of a longitudinal gray distribution map to determine the edge and orientation, and finally identifying the maximum contour and framing the maximum contour with a minimum bounding rectangle to determine the width of the light spots; and S3, according to the linear relation between the light spot width and the defocusing distance and by analyzing the semi-circle orientation and width change of the light spot, controlling the focusing motor to reach the focusing position. The distance and the direction between the objective lens and the focal plane are determined by acquiring the reflected light spot image of the laser irradiated on the sample through the microscope objective lens, and the focusing error caused by the nonlinearity of the spot size when the point-semicircle spot approaches the focal plane is avoided according to the linear relation between the spot width and the defocusing distance. And the focusing process is high in efficiency and precision.

The invention discloses a real-time automatic focusing method based on interference fringe phase extraction, and the method specifically comprises the steps: importing an initial interference image, setting a focusing state position as an initial phase shift value, and carrying out the zero setting of the initial phase shift value; when the detection system runs, keeping interference image video stream input, and calculating a phase shift value and a phase value in real time through an improved iterative algorithm; and the calculation result is converted into a defocusing value, and the PZT controller is controlled to complete focusing. According to the automatic focusing method provided by the invention, the defocusing amount is obtained according to the phase movement of the interference fringes, a high-precision displacement measurement method is introduced into the automatic focusing technology, and compared with a traditional microscopic focusing method, the focusing precision is improved in a breakthrough manner, and the method has very high innovativeness; based on an interference image method, phase information closest to reality is extracted through iterative operation, real-time processing is continuously carried out through video streams of interference images, the operation speed is high, and real-time focusing can be completed in the scanning process of a detection system.

The invention provides a three-dimensional automatic focusing method and device based on multi-modal data fusion and Kalman filtering and a readable storage medium, and high-precision real-time focusing is realized through multiple steps: collecting sample three-dimensional phase information and different focal plane image data by using a phase and image sensor, and calculating phase depth and definition; constructing a multi-plane Kalman filtering cluster, modeling the focus state of each focal plane, and predicting the focus by fusing the neighborhood coupling influence; the focus state is updated and corrected in combination with the image definition and the phase gradient, and the optimal three-dimensional focus position is determined by means of a collaborative optimization decision maker; dynamically adjusting the noise matrix and the coupling coefficient, and controlling the objective lens to complete focusing. According to the method, through multi-modal fusion and multi-plane cooperation, the problems of focus drifting and jumping are effectively solved, the focusing precision and stability of an imaging system in a complex sample and a dynamic environment are remarkably improved, and the method is suitable for equipment such as a biomedical full-automatic microscope and a digital pathological section scanner.

The present invention discloses a laser metal curved surface automatic focus processing system and method thereof, including: a multimodal data fusion device, a curved surface detection module with a secondary tracking structure, integrated 3D structured light vision and vibration sensing equipment; a dynamic focus correction module, configured with an adaptive energy control unit and a beam shaping component; a nonlinear motion control console, including a six-degree-of-freedom parallel mechanism motion platform, and its servo control system integrates a time-space phase compensation algorithm; a core control unit, the core control unit has an embedded fusion algorithm model, and establishes a nonlinear mapping between material removal efficiency η and multivariable dynamic parameters. The processing quality level of the present invention is improved through the multi-source data fusion of 3D structured light and vibration sensing, the curvature recognition accuracy is improved, and the focus offset is reduced in combination with the axial vibration compensation mechanism, thereby effectively improving the processing quality.

The invention discloses a confocal microscope camera calibration method based on high-precision motion control. The confocal microscope camera calibration method mainly comprises the steps of establishing four coordinate systems, placing a checkerboard calibration plate on a high-precision platform and adjusting the checkerboard calibration plate to the center of the view of a camera, and shooting and recording image coordinates of a calibration point. And based on the imaging relationship between the optical center of the camera and the object point, determining the mapping relationship between the coordinate systems so as to establish a preliminary imaging model. Then, nonlinear correction is performed on the imaging model, lens distortion is eliminated, and corrected image coordinates are converted into pixel coordinates. The non-linear correction parameters are optimized through the multi-view data, the mapping relation between the image plane and the platform physical plane is further calculated, and the mapping relation is optimized through the least square method so as to improve the calibration precision. Finally, pixel coordinates in the image are converted into physical coordinates of a platform through the optimized matrix, and support is provided for the automatic focusing process of the confocal microscope.

An ophthalmic imaging system provides an automatic focus mechanism based on the difference of consecutive scan lines. The system also provides of user selection of a focus point within a fundus image. A neural network automatically identifies the optic nerve head in an FA or ICGA image, which may be used to determine fixation angle. The system also provides additional scan tables for multiple imaging modalities to accommodate photophobia patients and multi-spectrum imaging options.

The invention discloses an automatic focusing control method based on a displacement sensor, and relates to the technical field of motion control, and the method comprises the steps: collecting a distance signal of a detection target, and converting the distance signal into a physical distance value through a calibration coefficient; the motion control card performs difference operation on the physical distance value and the standard focusing distance to obtain a position deviation value, performs data smoothing processing by using a Kalman filtering algorithm, establishes a state prediction model by using latest N frames of cache data, generates position compensation data, converts the position compensation data into a pulse control quantity, and when the pulse control quantity exceeds a preset threshold value, outputs the position compensation data; generating a motor driving instruction according to a PID control algorithm; and controlling the stepping motor driver to drive the lens assembly to perform position compensation according to the motor driving instruction, so that a standard focusing distance is kept between the lens assembly and the detection target. According to the invention, the problems of response lag and poor anti-interference capability in a traditional automatic focusing system are solved, and the dynamic response characteristic and the control precision of the system are improved.

The invention discloses a camera shooting automatic focusing method and system based on a machine learning algorithm. The camera shooting automatic focusing method comprises the steps that firstly, multiple pieces of original image data which are obtained in real time and marked with time node information are preprocessed to obtain a standard focusing image sequence; performing image feature extraction on the standard focusing image sequence to obtain a first type, a second type and a third type of image features; respectively inputting the first type of image features, the second type of image features and the third type of image features into a preset convolutional neural network mathematical model, a long-short-term memory network mathematical model and a deep reinforcement learning mathematical model to obtain a first focusing parameter, a second focusing parameter and a third focusing parameter; and finally, acquiring automatic focusing setting parameters according to the first, second and third focusing parameters. The convolutional neural network, the long-short-term memory network and the deep reinforcement learning are jointly applied to the automatic focusing technology, so that the automatic focusing function is optimized on the premise of reducing the operation of the camera equipment, and the user experience is greatly improved.

The present invention provides an automatic focusing method, an electronic device, and a readable storage medium. The automatic focusing method comprises: using a target detection model to detect a target object in an image frame acquired at an initial focal length by an optical imaging device to be focused, so as to acquire a target object detection result; on the basis of the target object detection result, determining whether a target object is present in the image frame; if yes, determining an actual object distance on the basis of the target object detection result and the initial focal length, and on the basis of the actual object distance and a mapping relationship between the object distance and an optimal imaging focal length, determining the optimal imaging focal length; and if not, using a preset search algorithm to search for a focal length until an image having the highest definition value is found, and using a focal length corresponding to the image having the highest definition value as the optimal imaging focal length. The present invention primarily employs a deep learning-based automatic focusing method, supplemented by an image definition evaluation method. Compared with traditional passive focusing methods, the present invention greatly improves the focusing efficiency. Compared with traditional active focusing methods, the present invention eliminates a need for adding an additional optical ranging component, ensuring that the imaging device has a simple structure and a low cost.

The invention provides a light spot position detection method, an automatic focusing method, a related system and a storage medium. A first light source is controlled to emit a first light beam to irradiate a to-be-detected sample, and a focusing sensor is controlled to receive the first light beam reflected from the to-be-detected sample; acquiring pixel data generated when the focusing sensor senses a light spot, formed on the focusing sensor, of the first light beam, and determining the center pixel position of the light spot based on the pixel data so as to determine the position of the light spot. According to the invention, the position of the light spot can be determined, so that the automatic focusing system can perform automatic focusing based on the position of the light spot, and the image definition is improved. Besides, in the invention, the light spot position is determined by using the central pixel position in the pixel data sensed by the focusing sensor, and the central pixel position can represent the central position of the light spot, so that the light spot position determination accuracy can be relatively high by determining the light spot position based on the central pixel position; therefore, the accuracy of automatic focusing and the image definition are improved.

The invention relates to the technical field of automatic focusing, and discloses a narrow space imaging automatic focusing method and system based on depth-of-field analysis, and the method comprises the steps: obtaining original image data, and carrying out the refraction correction according to the original image data, and obtaining an initial depth-of-field distribution diagram; carrying out scattering interference analysis according to the initial depth-of-field distribution diagram to obtain interference intensity distribution; performing focus analysis according to the interference intensity distribution to obtain a candidate focus set; performing exposure optimization according to the candidate focus set to obtain an optimized focus set; performing locking threshold calculation according to the optimized focus set to obtain a locking threshold of the optimal imaging position; and when the distance between the target position and the optimal imaging position is smaller than the locking threshold value, triggering focus locking, performing scattering compensation, and outputting a high-precision imaging result. The method has the following effect that the accuracy of automatic focusing of imaging in a narrow space can be improved.

The invention discloses a full-automatic milk somatic cell detection system and method based on fluorescence analysis. According to the full-automatic fluorescence microscopic examination system, automatic sample introduction and automatic mixing are completed through the automatic sample introduction module, automatic focusing of dyed samples is completed through the automatic focusing module, automatic photographing processing and automatic counting are completed through the automatic photographing and counting module, and therefore full-automatic fluorescence microscopic examination is achieved. According to the method, the automatic detection level is remarkably improved, the consistency of the detection process is ensured, and manual operation errors are reduced, so that the experiment efficiency, the data accuracy and the reproducibility are improved; compared with traditional off-line detection or laboratory detection, the method and system provided by the invention have better real-time performance and accuracy, and also have higher automation degree.

The invention relates to the technical field of electron microscopic imaging, in particular to an electron microscopic imaging automatic focusing method and device, computer equipment, a storage medium and a computer program product. The method comprises: acquiring an initial image; taking the initial image as a starting point, searching a to-be-detected object by using a current positioning model, and determining a focusing search starting point; the focusing search starting point is adjusted based on preset search parameters, a detection image corresponding to the adjusted imaging parameters is obtained, and the search step length and the search direction corresponding to the search parameters are dynamically adjusted according to the definition evaluation result of the historical detection image; in response to the condition that the adjusted detection image does not meet the definition evaluation index, updating the search parameter; and adjusting the imaging parameter based on the updated search parameter until the detection image meets a preset focusing requirement. By adopting the method, the efficiency of automatic focusing can be improved, and the accuracy of focus point positioning and the robustness of algorithm implementation can be improved.

The invention discloses a microscope automatic focusing method and system based on image processing, an image is regarded as integration of local areas, the local areas are called windows or image blocks, the size of each local area is 5 pixels * 5 pixels, an evaluation function calculation formula independently acts on each window, a central pixel point is taken as a reference, and the central pixel point is taken as a reference point. Gray gradient difference values after absolute values are obtained through calculation in the X-axis direction and the Y-axis direction respectively, gray gradient difference values after absolute values are obtained through calculation in the main diagonal direction and the secondary diagonal direction respectively and serve as weight factors, and then the gray gradient difference values obtained through calculation are subjected to weighting operation; and finally, accumulating the calculated values of the windows to obtain a definition quantized value of the image. The problems that a traditional method is time-consuming in focusing and insufficient in accuracy are solved.

The invention provides a multi-focus and multi-band channel auto-focusing confocal microscopic imaging system, and relates to the technical field of microscopic imaging, the system comprises an excitation end, a detection end and a control module, the control module is connected with the excitation end and the detection end; according to the invention, through integration of advanced optical design and an automatic control algorithm, rapid and accurate focusing is realized, and imaging under multiple wavebands is supported at the same time.

The invention provides an automatic focusing method and an imaging method for a digital pathological section scanner, and the focusing method comprises the steps: carrying out the fine focusing of a pre-focusing point of a visual field of a reference position of a specimen slide, and enabling the pre-focusing point to serve as a reference focal plane position of the specimen slide; traversing other pre-focusing points, and shooting an image at the position of the reference focal plane; inputting the image into an out-of-focus distance prediction model, and predicting an out-of-focus offset distance; obtaining ideal focal plane positions of other pre-focusing points based on the out-of-focus offset distance and the reference focal plane position; and performing curved surface fitting according to the ideal focal plane positions of the plurality of visual fields to obtain the ideal focal plane positions of all the visual fields of the specimen slide. According to the invention, the ideal focal plane positions of a plurality of pre-focusing points can be obtained by only performing fine focusing on the pre-focusing points of one visual field and combining with the out-of-focus distance prediction model, so that the focusing time is reduced and the focusing speed of the whole specimen slide is improved compared with the conventional method of performing fine focusing on a plurality of pre-focusing points.

The embodiment of the invention relates to the field of motors, and provides a motor, a camera module and electronic equipment. The motor comprises a lens carrier, a frame, a magnetic attraction mechanism and two sliding rail mechanisms, and the two sliding rail mechanisms are diagonally arranged between the frame and the lens carrier on a plane perpendicular to the optical axis direction of the lens and used for providing a sliding supporting face for movement of the lens carrier in the optical axis direction so as to reduce friction force. The magnetic attraction force generated by the magnetic attraction mechanism is used for making the lens carrier abut against the sliding rail mechanism. The two slide rail mechanisms are arranged diagonally and are uniform in structure distribution, so that the stress of the lens carrier is uniform, the stability of the structure is facilitated, the requirement of the motor for magnetic attraction force is reduced, the requirement of automatic focusing for driving force is reduced, the power consumption and the cost are reduced, the miniaturization design of the motor is facilitated, and the service life of the motor is prolonged. And the design difficulty is integrally simplified.

The invention provides a focusing method, device and equipment. The method comprises the following steps: determining pixel offset between a red channel image and a green channel image of a tissue slice; the red channel image and the green channel image are a red channel image and a green channel image of a tissue slice in a ghosting image captured by the color image sensor when a red light filter, a green light filter and double optical wedges in the focusing module are modulated at the same time; determining an out-of-focus distance according to the pixel offset and a preset corresponding relation; the preset corresponding relation is the corresponding relation between the pixel offset and the defocus distance; and focusing according to the out-of-focus distance. According to the method provided by the embodiment of the invention, the problem that positive and negative defocusing directions cannot be distinguished through a single-frame image in a phase shift detection automatic focusing technology based on image monochromatic double-hole modulation is solved, and the problem of time waste caused by high-speed switching of an illumination light source in an automatic focusing technology based on red-green double-LED illumination is solved; and meanwhile, the problem that a phase shift detection automatic focusing technology based on pupil segmentation images is relatively small in focusing range is solved.

The invention discloses a real-time automatic focusing hyperspectral acquisition method and a real-time automatic focusing hyperspectral acquisition device. The real-time automatic focusing hyperspectral acquisition method comprises the following steps: step 1, acquiring dark background pixel signals; 2, automatic focusing is carried out; 3, repeating the step 2 until the requirement is met, recording automatic focusing data, and performing spectrum acquisition to obtain original spectrum data; step 4, calculating a full-width object distance matrix of the original spectral data based on the phase difference finally obtained in the step 3; 5, correcting the original spectral data based on the full-width object distance matrix to obtain corrected spectral data; and step 6, calculating the corrected reference plate spectral data based on the corrected spectral data and the dark background pixel signal, calculating the reflectivity of the target object to be measured, and realizing real-time automatic focusing hyperspectral acquisition. The method innovates a phase difference analysis method, and efficiently processes light change and target offset in a dynamic scene; the combination of the two improves the focusing precision and stability, effectively solves the problem that the scanning target in the dynamic scene is liable to defocus, and achieves the efficient adaptation of the dynamic scene.

The invention discloses a projector automatic focusing method based on a spectrum sensor and related equipment, and the method comprises the steps: carrying out the wavelength decomposition of a reflected light signal, and obtaining a light intensity value; calculating an initial distance value between the projector and the projection surface; carrying out integral operation on the acceleration data and the angular velocity data to obtain a position offset and an attitude angle offset; determining a compensation distance, and calculating an actual projection distance; controlling a stepping motor to drive a lens assembly to move to a focusing position corresponding to the target focal length value; controlling a stepping motor to drive a lens assembly to reciprocate; a new reflected light signal is collected again after each reciprocating motion; processing the new reflected light signal based on a preset mapping model to obtain a current measurement distance; and when the deviation value between the current measurement distance and the preset optimal imaging distance is smaller than a preset threshold value for the first time, determining the focusing position corresponding to the final measurement distance as a final focusing position. The automatic focusing precision of the projector is improved, and the definition of a projection picture is further improved.

The invention provides a CNN-based electron microscope rapid automatic focusing method and system, and relates to the technical field of electron microscope automatic focusing, and the method comprises the steps: collecting an electron microscope image, and carrying out the preprocessing of the image, and training a pre-constructed CNN model; inputting a real-time image into the trained CNN model, predicting an offset, and calculating a definition value; determining a focusing distance of next shooting based on the predicted offset and the definition value; focusing shooting is adjusted, and multiple sets of focusing distance and definition value data are collected until the preset number of times is reached; converting the data into coordinate points, fitting a Gaussian curve, and solving to obtain an optimal focusing distance; and adjusting the electron microscope according to the predicted optimal focusing distance to complete automatic focusing. According to the invention, shooting times are reduced, materials are protected, image definition is flexibly evaluated, high-precision automatic focusing is realized, and the model can be adaptively retrained and cope with changes and is flexible and practical.

The invention discloses a Raman spectrum automatic focusing system and method for detecting a pathological tissue sample, and the system comprises a light source module which is used for generating laser with a preset wavelength so as to irradiate the pathological tissue sample; the automatic focusing module integrates a mechanical structure and an image recognition algorithm, and performs automatic focusing on the surface of the sample through a low-pass spectroscope, an objective lens, a focusing camera, a controller and a focusing execution mechanism; the spectrum analysis module is used for collecting and analyzing Raman scattering light generated by interaction of the focused exciting light and the pathological tissue sample on the basis of a Raman spectrum analyzer, and by integrating the stable light source, the automatic focusing module, the spectrum analysis module and the data processing module, rapid, accurate and automatic detection of the pathological tissue sample is achieved; the method has the advantages of simplicity and convenience in operation, high detection speed, high resolution, high automation degree and the like, is widely applied to the fields of clinical pathological detection, biomedical research and the like, and provides powerful support for disease diagnosis.

The invention belongs to the technical field of optical imaging equipment, and particularly relates to a lens driving device which comprises a base and a motor mechanism, the motor mechanism comprises a frame which is arranged on the base, an AF coil is arranged on the side wall of one side of the frame, and the AF coil and an AF magnet arranged on the side wall of the base are oppositely arranged so that the frame can move in the third direction relative to the base; the OIS coil plate is arranged in the frame, and an OIS coil is arranged in the OIS coil plate; the carrier is arranged in the frame, the OIS coil plate is located between the carrier and the frame, an OIS magnet is arranged at the bottom end of the carrier, and the OIS magnet and the OIS coil are oppositely arranged so that the carrier can move in the first direction and the second direction relative to the frame. Through an innovative position design mode, magnets adopted by AF zoom operation and anti-shake operation are independent and do not interfere with each other, and the stability of automatic focusing and optical anti-shake control is ensured.

The invention discloses an automatic focusing method, device and equipment for a fluorescence microscope. The method comprises the following steps: S10, acquiring an image acquired by the microscope and extracting a target cell contour in the image acquired by the microscope; s20, the contour of the target cell is identified, an internal area and an external area are obtained, the internal area is a cell main body part, and the external area is a part except the cell main body part; s30, the definition value of the internal area and the definition value of the external area are calculated respectively, weighting processing is carried out respectively, and the weight corresponding to the definition value of the internal area is larger than the weight corresponding to the definition value of the external area; s40, calculating a global definition score according to a preset formula; and S50, automatically adjusting the focal length of the microscope based on the global definition score. The definition values of the internal region and the external region are respectively calculated and weighted, and the detail definition of the cell main body part is preferentially considered, so that the interference of the halo effect on the focusing result is effectively reduced, and the focusing precision and the imaging quality are improved.

The invention relates to the technical field of semiconductor detection, in particular to a real-time automatic focusing system and a detection system formed by the same. The real-time automatic focusing system comprises a first illumination subsystem, a second illumination subsystem, a beam combining element, a first mask plate, a second mask plate, a collimating lens group, an objective lens, a first beam splitter, a second beam splitter, a moving mechanism, a first detection subsystem and a second detection subsystem. A focusing energy signal is calculated according to the imaging light energy received by the first detection subsystem and the second detection subsystem, the moving mechanism is controlled according to the focusing energy signal to adjust the position of the objective lens or the to-be-detected sample, and real-time focusing of the to-be-detected sample is achieved. According to the invention, an energy difference mode is utilized to eliminate the influence on the automatic focusing system due to different reflectivity of patterns on the surface of the to-be-tested sample and the etching depth of the patterns, and real-time focusing of the to-be-tested sample is realized by adjusting the position of the objective lens or the to-be-tested sample.

The invention relates to the technical field of industrial automation and machine vision, and discloses an automatic debugging calibration system and method. The method comprises the following steps: establishing standard parameters, recording hardware installation parameters and software process parameters of reference laser processing equipment, and establishing a standard parameter library; preparing to-be-debugged equipment, and completing basic hardware installation and program import of the to-be-debugged equipment according to the standard parameter library; starting a VAC automatic debugging process, and sequentially executing automatic focusing confirmation, photographing position confirmation, light source intensity confirmation and pixel equivalent confirmation; coordinate system calibration of the laser and the camera is executed, and the coordinate transformation relation of the laser and the camera is established; static and dynamic repeatability verification is carried out, and precision and stability are evaluated; the optimized debugging parameters are stored, and parameters of other devices are migrated; through the automatic VAC process, manual debugging of several hours or even several days is shortened to the minute level, the machine difference caused by human factors is eliminated, and efficiency and consistency are greatly improved.

The invention relates to the technical field of microimaging automatic focusing, in particular to an automatic cell focusing method and system capable of resisting interference of fluorescent microspheres in hydrogel. The method comprises the following steps: acquiring hydrogel cell image sets containing fluorescent microspheres on different focal planes, calculating cell region weights and weighted gradient processing according to the hydrogel cell image sets containing fluorescent microspheres on different focal planes, and storing the cell region weights and weighted gradient processing to a preset definition list; and traversing the definition list, performing definition scoring on the hydrogel cell images containing the fluorescent microspheres on different focal planes in the definition list to obtain the hydrogel cell image containing the fluorescent microspheres with the highest definition score and the corresponding Z-axis coordinate, and controlling a preset motor to realize automatic focusing by using the Z-axis coordinate. The method can adapt to various fluorescent microsphere densities, is not influenced by the densities, and has wide applicability; the algorithm considers the existence of all cells in the visual field, the focusing is more integral, and the focusing accuracy is improved.

The present invention relates to the technical field of laser machining, and in particular to a fine metal mask laser machining device and a machining method therefor. A galvanometer machining head is used for performing galvanometer full travel deflection on an incident laser beam; the galvanometer machining head is mounted on one side of a dynamic focusing module, and a laser head is mounted on the other side of the dynamic focusing module; a laser shaping module is located below the galvanometer machining head; an objective lens switching module is located below the laser shaping module, and several objective lenses having different magnifications are mounted on the objective lens switching module; and an automatic focusing module is located on one side of a third beam combiner. The described structures are integrated; the three-dimensional machining capability of the galvanometer machining head and a dynamic focusing lens, the plane shaping capability of a field lens and the ultra-fine observation and machining capability of an objective lens are all achieved; and the ratio of the focal length of a field lens-like telecentric focusing lens to the focal length of a plano-convex lens-like shaping lens is designed to be about 1: 4, such that it is guaranteed that laser becomes parallel light rays after passing through the plano-convex lens-like shaping lens, and the diameter of a light spot is increased to be 4 times of the original diameter of the light spot.

The invention provides an automatic focusing device and method for an ultrasonic scanning microscope, and the device comprises a motion platform module, a distance measurement module, and an ultrasonic probe module. The motion platform module comprises a scanning shaft, a focusing shaft and a stepping shaft, the scanning shaft is arranged in the X-axis direction, the stepping shaft is arranged in the Y-axis direction, the focusing shaft is arranged in the Z-axis direction, and the motion platform module is used for focusing the ultrasonic module probe; the distance measuring module is mounted on the scanning shaft or the focusing shaft and is used for measuring the surface height of the measured workpiece; and the ultrasonic probe module is mounted on the focusing shaft and is used for transmitting and receiving ultrasonic waves to detect the detected workpiece. According to the invention, the distance measuring module is adopted to obtain the height change of the surface of the measured workpiece, the heights of the focusing shaft and the ultrasonic probe module are automatically adjusted in real time, the probe and the measured workpiece are always kept on the optimal focal plane, automatic focusing is realized, and the ultrasonic scanning image quality is improved.

The invention relates to the technical field of image processing and automatic focusing, in particular to an automatic focusing method and microscope image acquisition equipment. According to the method, the adaptive Gaussian filtering and the point spread function model are combined, the fuzzy parameters are dynamically adjusted on the basis of global fuzzy characteristic description, and the local blurring of the image is effectively optimized. According to the method, a multi-dimensional evaluation auxiliary mechanism is introduced, the quality of a focal length position is comprehensively evaluated by analyzing fuzzy parameters and a target detection result in real time, the coverage capability of a target is optimized while the focusing precision is ensured, and stable focusing in a complex scene is ensured. According to the method, dynamic search and fine optimization strategies are combined, accurate positioning is achieved through small-range dynamic search near the focal length plane, and the local optimum problem is avoided while the focusing efficiency is improved. According to the method, the ambiguity, target detection and image definition are optimized in real time in image processing, the robustness and precision of the focusing process are improved, and the method is suitable for the fields of biomedicine, nondestructive testing, unmanned driving and the like.