154 results about "Pixel matrix" patented technology

The invention relates to the technical field of bill text recognition, and discloses a bill text recognition system and method based on deep learning. The method comprises the following steps: acquiring target bill original image data containing a multi-channel pixel matrix and spatial resolution information; based on a matching result of the bill edge features and a preset template, geometric distortion correction is carried out on the original image, and a corrected bill image is generated; inputting the corrected image into a pre-training text region detection network to obtain positioning information containing text line boundary coordinates and region confidence; text line image blocks are extracted according to the positioning information, character segmentation preprocessing is executed, and a character-level image sequence is generated; calling a deep character recognition model to classify the sequence character by character, and generating an initial text recognition result; semantic verification and error correction are performed on the initial result based on the bill type knowledge base, final structured text data are generated, and the processing requirements of bills of different types and qualities can be met.

The present application relates to a kind of for the determination method of liquid alloy density in electrostatic suspension state in space station, after obtaining the photo of liquid alloy in electrostatic suspension state in space station, first photo is converted into pixel matrix and carries out gray scale processing, then deduct photo background by matrix operation.Further, the best binary grayscale threshold of pixel matrix is calculated, and pixel matrix is carried out binary processing.Then all boundary coordinates in pixel matrix are obtained by matrix operation, and each connected boundary is distinguished.Excluding bright spot boundary, the boundary coordinates and center coordinates of liquid alloy are obtained.Then the boundary equation of liquid alloy is obtained by using multi-order Legendre equation fitting liquid alloy boundary coordinates.Finally, the volume of liquid alloy is obtained by rotating integral to the boundary equation of liquid alloy, and then the density value of liquid alloy is obtained.The density value of the present application can be obtained by processing liquid alloy photo, and can be used for the determination of containerless liquid alloy density in electrostatic suspension in space station.

The invention relates to the technical field of intelligent peripherals, in particular to a user-oriented interaction information expansion method, which comprises the following steps that: each keycap acquires displacement and pressure, generates an event packet, uploads the event packet through an optical wireless link, and obtains a clock and supplies power; constructing a keycap graph by a master controller, obtaining an intention vector through graph convolution and pooling, inputting the intention vector into a cyclic network to generate a pixel matrix and a phase matrix, and downlink after Bernoulli sparse coding; performing key cap side orthogonal matching pursuit decoding and four-round gradient optimization, and outputting a differential pixel set, a differential phase set and a synchronization mark; the master control refreshes the digital micromirror array and the ultrasonic phased array in a differential manner, locks a frame-level time sequence through a synchronization pulse, compensates link delay and hardware drift in real time based on Kalman filtering, and keeps an optical-acoustic alignment error to be less than 100 microseconds; degradation monitoring enables a link to be automatically switched to a pre-carved character layer and to be quickly recovered when the link is abnormal, and a keyboard interaction information expansion scheme with low delay and high consistency is provided.

The invention discloses an intelligent glass fiber reinforced plastic curing temperature control method and system in combination with visual detection, and relates to the field related to intelligent manufacturing, and the method comprises the steps: carrying out the collection of a morphological spectral image and an infrared thermogram of a glass fiber reinforced plastic curing surface through a multispectral visual detection sensor; establishing a multi-dimensional pixel matrix including surface texture, reflection spectrum and infrared temperature distribution; carrying out polymerization analysis on optical coherence and temperature distribution continuity, constructing a photo-thermal coupling consistency tensor, and adaptively generating a curing region partition map; calculating a temperature gradient vector field of each adjacent region, and constructing a control mapping function by taking a morphological response characteristic index as a weight parameter; and a differential heating instruction is configured to control the multi-point array heating unit to execute self-adaptive heating control. The technical problem that existing glass fiber reinforced plastic curing temperature control cannot comprehensively and accurately sense and dynamically adapt to complex changes of the curing process is solved, and the technical effect of intelligent, accurate and differential control over the glass fiber reinforced plastic curing temperature is achieved.

The invention discloses a pixel extraction and conversion method of an LEN format image, and belongs to the technical field of digital image processing. In order to solve the technical problems that the LEN format has no public specification and general software cannot read data, binary analysis is carried out through an LEN sample, and the core binary layout of a file is found for the first time: the image width and height are stored in specified offset positions, and a small-end byte order is adopted; pixel data comprises a compressed data segment and a row information segment, and an RLE coding rule is adopted. The method comprises the following steps: acquiring an LEN format file; analyzing the file header to obtain an image size; performing segmented analysis on the image data; synthesizing the analyzed data into image data; and packaging the pixel matrix into a standard TIFF format file. The LEN core binary layout is disclosed for the first time, zero distortion and cross-platform conversion are achieved, reading and storage of screening parameters are not involved at all, existing patents are effectively avoided, and the method can be used for preview, filing and third-party system integration in the flexographic printing process.

A CMOS image sensor includes a unit pixel array including a photodiode array, a color filter array, a micro-lens array, and a grid isolation structure laterally separating adjacent color filters. The grid isolation structure includes a first low-n grid, a second low-n grid underlying the first low-n grid, and a metal grid within the second low-n grid, the first low-n grid being narrower than the second low-n grid. The color filter array includes color filter matrixes, all color filter matrixes have the same arrangement pattern. Sizes of color filters in each color filter matrix vary depending on locations of the color filters in the color filter matrix. In an edge portion, a distance between a center of a color filter matrix and a center of a corresponding unit pixel matrix in plan view varies depending on a location of the unit pixel matrix in the CMOS image sensor.

The invention relates to the field of image processing, in particular to a laser marking positioning method and system based on vision, and the method comprises the steps: obtaining a template RGB image and a to-be-positioned RGB image of a bottom plate of an electric iron; constructing a pixel matrix set of the target hole, and calculating the distinction degree between the target hole and any other hole; calculating the positioning confidence of the target hole under the target scale, traversing to obtain the positioning confidence of the target hole under each scale, and determining a positioning hole according to the positioning confidence; calculating the positioning weight of any pixel matrix in the pixel matrix set of any positioning hole, and taking any steam hole in the RGB image to be positioned as a hole to be matched so as to calculate the positioning matching degree of the hole to be matched and any positioning hole at the target scale, and calculating the comprehensive matching degree of the to-be-matched hole and any positioning hole based on the positioning matching degree and the positioning confidence accumulated value. According to the technical scheme, the marking and positioning precision can be improved.

The present invention relates to a light emitting display device (200) comprising a matrix of pixels wherein each pixel is composed of three basic light emitting regions (201a, 201b, 201c), each basic light emitting region comprising an OLED stack (205a, 205b, 205c) having a different color, and each region being protected by a photoresist (280); two adjacent control electrodes (202a, 202b, 202b, 202c, 202c, 202a) belonging to two adjacent light-emitting regions (201a, 201b, 201b, 201c, 201c, 201a) of different basic light-emitting region groups are separated by a trench (211), and have insulating surfaces (223) covering the side walls of the adjacent electrodes (202a, 202b, 202b, 202c, 202c). Two adjacent control electrodes (202a, 202a, 202b, 202b, 202c, 202c) of two adjacent light-emitting regions (201a, 201a, 201b, 201b, 201c, 201c) belonging to the same basic light-emitting region group are separated by a trench (211) which is filled with a filling element (203), and the filling element (203) is arranged between the two adjacent control electrodes (202a, 202a, 202b, 202b, 202c, 202c) of the two adjacent light-emitting regions (201a, 201a, 201b, 201b, 201c, 201c) belonging to the same basic light-emitting region group. Wherein, in each group of basic light-emitting regions, the combination of the OLED stack and the upper electrode thereof is separated from the adjacent combination by an encapsulation layer (290).

The present application relates to organic light emitting display data processing technical field, especially high resolution organic display driving waveform generation method, through distributed parameter analysis, pixel matrix is divided into spatial block, using GPU node parallel extraction parasitic parameter and construct cross block coupling model, generate block parasitic parameter mapping table and characteristic vector matrix;Based on the residual charge data and dynamic gray scale segment control generation contains curvature parameter segmented waveform parameter set;Call brightness and voltage response data to execute nonlinear brightness correction, combined with light intensity feedback loop to generate compensation pulse parameters;According to the display content feature classification switch multi mode driving strategy, through phase locked loop phase synchronization to eliminate time sequence fault, the present application effectively suppresses parasitic effect interference and brightness mutation overshoot, improves the gray scale compensation accuracy and refresh rate synergy, enhances the display uniformity and dynamic picture smooth.

The invention provides a rice monitoring method, device and system based on multi-modal data fusion, and the method comprises the steps: obtaining the spectrum and image data of a rice canopy, respectively extracting the features of the data, inputting the features to a trained rice monitoring model, and obtaining a monitoring result; the rice monitoring model is obtained based on the following steps: preprocessing rice canopy spectrum and image data to obtain a feature vector and a pixel matrix; and training a multi-task learning model composed of a one-dimensional convolutional neural network and a two-dimensional coupon neural network based on the sample feature vector, the pixel matrix and the corresponding label matrix. Aiming at the problems of tedious flow, low efficiency, poor real-time performance and the like in the existing rice nitrogen and chlorophyll detection and pest and disease damage identification technology, rapid in-situ detection of the nitrogen and chlorophyll contents of rice leaves and efficient pest and disease damage identification are realized through a map fusion technology; the technical problems that an existing rice monitoring method is prone to misjudgment and missed judgment and low in efficiency can be solved.

The invention relates to a naked-eye 3D display system based on a multi-layer phase modulation composite grating, belongs to the technical field of stereoscopic display, and aims to overcome the technical bottlenecks of low brightness of an existing parallax barrier grating, large crosstalk caused by large thickness of a cylindrical lens and serious dispersion of a diffraction element. The system comprises a two-dimensional display panel and a composite diffraction grating, pixel units of the display panel are composed of red, green and blue sub-pixel matrixes and are coded according to viewpoints. The composite diffraction grating is attached to the light emitting side of the panel, is made of an optical anisotropic material and is of a multi-layer structure, and a first micro-nano structure layer and a second micro-nano structure layer are sequentially arranged along a light path; the first layer is an aspherical focusing array, and the phase delay of the aspherical focusing array meets a quadric surface function so as to collimate light waves; the second layer is a dispersion compensation type deflection array, and the grating period of the second layer is accurately matched with the central wavelength of the sub-pixels, so that light of different colors is projected at the same deflection angle. According to the invention, full-color dispersion-free display is realized, the thickness of the device is less than 50 microns, and crosstalk is obviously reduced.

This invention discloses a video tracking and recognition method for the spatial trajectory of hoisted objects based on multi-source data fusion, belonging to the field of machine vision monitoring technology. The method includes acquiring pre-loaded physical boundary constants of the tower crane and simultaneously collecting multi-source data during tower crane operation. Based on the physical boundary constants, kinematic calculations are performed on the multi-source data to obtain the relative vertical displacement, the three-dimensional absolute spatial coordinates of the luffing trolley center point, and the absolute coordinates and three-dimensional rotation matrix of the camera's optical center in the global three-dimensional coordinate system. Edge detection is performed on the temporally aligned color video frame matrix to extract candidate wire rope contours and generate a binary edge pixel matrix. Collinear edges are mapped to polar coordinate space using Hough transform. This invention reduces the uncertainty of monocular vision depth scale and improves stability and accuracy under conditions of large-amplitude lifting and complex swinging.

A kind of power equipment image processing method based on optical fiber bundle imaging, storage medium and system, method is: signal output by infrared fiber bundle is collected by infrared camera pixel matrix, unit in matrix is divided into effective unit and invalid unit, and generate unit division binary matrix data file;Again processing obtains temperature correction matrix data file, temperature segmented point corresponding response value matrix data file, and establish the correction value of response value matrix under different radiation scene;Through numerical fitting and interpolation compensation method, the video stream of optical fiber bundle transmission image is carried out real-time restoration and optimization, completes the inversion from thermal map to temperature field distribution;The present application also includes the storage medium and system of storing the power equipment image processing method based on optical fiber bundle imaging of running this, the present application carries out real-time restoration and optimization to the video stream of optical fiber bundle transmission image by numerical fitting and interpolation compensation method, completes the inversion from thermal map to temperature field distribution.

This invention belongs to the field of laser ultrasound imaging technology, specifically disclosing a laser ultrasound imaging method based on neural networks, comprising the following steps performed sequentially: S1, acquiring the A-scan signal; S2, decomposing and reconstructing the A-scan signal through empirical mode decomposition; S3, extracting the temporal features of the ultrasound signal using pooling; S4, establishing a neural network and training it multiple times to obtain multiple neural networks with different representation capabilities; S5, inputting the temporal features of the ultrasound signal of the sample to be tested into each trained neural network, and filling the recognition results into the corresponding positions according to the detection point order to form a pixel matrix; S6, superimposing all pixel matrices, setting a threshold to evaluate the state of each detection point, and generating the corresponding pixel image. The method of this invention is insensitive to noise and can be used to process low signal-to-noise ratio signals, improving the accuracy of material state identification. This invention is applicable to detecting the state of materials.

A wearable device includes an image sensor having a matrix of pixels. Each pixel includes at least one light emitter and at least one photosensor. A first group of pixels of the matrix includes one light emitter configured to emit wavelengths selected among near and short-wave infrared wavelengths. A second group of pixels of the matrix includes a photosensor sensitive to the wavelengths selected among near and short-wave infrared wavelengths.

The application discloses a kind of wild fire smoke cluster and its boundary vector automatic identification method, system, storage medium and electronic equipment, belong to satellite remote sensing and disaster monitoring technical field.Method includes: obtaining satellite active fire point, fire event and UVAI data;Fire source area is positioned based on fire event geographic location and initial plume pixel is marked;The spatially continuous smoke cluster connected domain is identified by iterative region growing algorithm;According to the specific distribution form of connected domain pixel in satellite pixel matrix, the accurate closed boundary vector is automatically generated using matching geometric algorithm;Finally, using multiple criteria, the spatial isolated independent smoke cluster is screened out.The application avoids the defects that traditional image method is easily disturbed by environment from physical principle, realizes fully automated processing without training data, and can output vector boundary that can be directly used for diffusion and emission evaluation, significantly improves the accuracy, automation degree and application value of wild fire smoke cluster monitoring.

The application discloses a non-intrusive load identification method and system, electronic equipment and storage medium, and relates to the technical field of non-intrusive load identification. The method comprises the following steps: calculating the amplitude spectrum and the phase spectrum of a to-be-identified load current waveform by using fast Fourier transform; calculating the Gram matrix of the to-be-identified load current waveform, the Gram matrix of the amplitude spectrum and the Gram matrix of the phase spectrum respectively; assigning the Gram matrix of the to-be-identified load current waveform, the Gram matrix of the amplitude spectrum and the Gram matrix of the phase spectrum to a B-channel pixel matrix, a G-channel pixel matrix and an R-channel pixel matrix respectively; combining the B-channel pixel matrix, the G-channel pixel matrix and the R-channel pixel matrix into a to-be-identified color image; inputting the to-be-identified color image into a load identification model, and identifying the load type corresponding to the to-be-identified color image by using the load identification model. The application can improve the accuracy and efficiency of non-intrusive load identification.

AUTOSTEREOSCOPIC HEAD-UP DISPLAY SYSTEM The invention relates to a system for the dematerialized projection of an autostereoscopic image to an observer whose eyes are positioned within a predetermined three-dimensional space, referred to as the eyebox. The system comprises: an optical device including at least one converging optical component arranged relative to the eyebox so as to direct the light rays it receives towards the eyebox; an autostereoscopic screen arranged relative to the optical device so that the light rays it emits can reach the converging optical component, and comprising: a pixel matrix and a lenticular grating above the pixel matrix. The grating has a pitch P determined from a known pitch P' of a screen intended for direct viewing. Figure 1

The application provides a reversible desensitization method for a visual rough visible sensitive image, and the method comprises the following steps: constructing a pixel matrix and dividing the matrix into blocks according to original image channel data and desensitization parameters; performing summation and encryption on the first two adjacent pixels of a first image block to obtain a ciphertext pixel group; then, the second pixel of the ciphertext pixel group and the next unencrypted pixel are combined into a new group, and the new group is iteratively encrypted by using a pseudo-random function and an encryption key until the pixels in the block are processed; a random number sequence is generated to rearrange the positions of the ciphertext block elements and complete permutation encryption; the current ciphertext block and the key are spliced and then hashed to derive the encryption key of the next image block, and all the blocks in the block and among the channels are processed in sequence; finally, the ciphertext blocks are reorganized according to the original channel order to obtain a desensitized image. The application forms a three-level encryption chain architecture which is mutually related and layer by layer transmitted; the architecture makes the pixels, image blocks and color channels of the image form strong encryption dependence at each level, and realizes the avalanche effect of the desensitization process.

The invention provides a vehicle end picture dimension reduction method, device and system based on principal component analysis, and a medium. The method comprises the following steps: acquiring an image in an RGB format acquired by an intelligent vehicle camera; the image in the RGB format is converted into a first three-dimensional array, the first dimension of the first three-dimensional array is the height of the image, the second dimension of the first three-dimensional array is the width of the image, and the third dimension of the first three-dimensional array is an R color channel, a G color channel and a B color channel; separating pixel data of R, G and B color channels in the first three-dimensional array to obtain R, G and B pixel matrixes; carrying out dimensionality reduction on the R, G and B pixel matrixes by adopting a principal component analysis method to obtain R, G and B pixel matrixes after dimensionality reduction; and combining the R, G and B pixel matrixes after dimension reduction into a second three-dimensional array, and generating a dimension reduction image based on the second three-dimensional array. According to the invention, dimension reduction based on the principal component analysis algorithm can be independently carried out on each color channel in the RGB image, cross-channel interference is avoided, and independent optimization of color information is ensured.

Microdisplay architecture, comprising: an optical plane with several pixel elements; a circuit plane on which the optical plane is arranged; wherein the circuit plane includes one or several interfaces, a pixel matrix control as well as an image memory for controlling the several light-emitting or light-modulating elements in dynamically selectable operating modes.

The application relates to an image display method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: a first sub-pixel in a sub-pixel matrix unit can only take a first reference gray scale value or a second reference gray scale value as a target gray scale value; and a target gray scale value of a second sub-pixel in the sub-pixel matrix unit is obtained by selecting from a preset gray scale value range based on the target gray scale value of the first sub-pixel under the condition that the overall gray scale value of the sub-pixel matrix unit is unchanged. In this way, one sub-pixel matrix unit is taken as one display unit, the target gray scale value of each sub-pixel in the display unit is a preset reference value or is obtained from the preset gray scale value range, the display effect of a display panel can be ensured even if the required current of a to-be-displayed image is low, and the display resolution of the display panel can be improved.

The invention discloses an image spatial resolution evaluation method and system, electronic equipment and a storage medium. The image spatial resolution evaluation method comprises the following steps: acquiring a two-dimensional pixel matrix of a to-be-evaluated image; determining a reference center point of the to-be-evaluated image according to the two-dimensional pixel matrix; determining the distance of at least part of pixels in the two-dimensional pixel matrix relative to the reference center point; according to the distance of each pixel, distributing the pixel value of each pixel to a plurality of calibration distance points through interpolation to obtain pixel value statistical data of each calibration distance point; and determining at least one spatial resolution index of the to-be-evaluated image according to the pixel value statistical data of the plurality of calibration distance points. According to the image spatial resolution evaluation scheme provided by the invention, the accuracy, comprehensiveness and anti-noise capability of spatial resolution evaluation are remarkably improved.

The invention provides a method for automatically generating a pixelated resonant cavity of an oscillator based on knowledge-driven reverse design. The method comprises the following steps: determining a topological region range of VCO resonant cavity design; determining a reverse design target; a priori knowledge driving pixel matrix drawing strategy is established, pixelated inductor topological structure drawing is completed in the topological region based on the drawing strategy, and a primary pixelated inductor topological structure quality factor and a secondary pixelated inductor topological structure quality factor are calculated; according to a reverse design target, searching a Q value of a primary pixelated inductance topological structure from a binary n * n matrix assembly at a given target frequency, and meanwhile, achieving a maximized optimal solution to obtain an optimal pixel topological structure; and constructing the voltage-controlled oscillator in combination with the optimal pixel topological structure. According to the method, batch automatic simulation and optimization of the optimal resonant cavity structure can be realized, and compared with manual design, the time cost is saved, and meanwhile, the performance is further improved.

The invention discloses a color image blind watermarking method based on two-dimensional quantization index modulation, and the method comprises the steps: firstly carrying out the discrete Fourier transform of image blocks, and converting a pixel matrix into a frequency domain coefficient matrix; then, energy distribution is further optimized through Laplacian transformation, so that energy is obviously gathered in a left diagonal region and a right diagonal region of the matrix, and two maximum energy coefficients are obtained; on the basis, a two-dimensional quantization index modulation technology is innovatively utilized, and the robustness of a watermark algorithm is enhanced by optimizing a quantization strategy. The method not only has better invisibility, but also has better robustness, solves the problems of poor robustness and low invisibility of a color image digital watermarking algorithm, and is suitable for occasions of digital media copyright protection with strong robustness and high invisibility.

The application provides an industrial computer tomography method, a control terminal and a scanning system. The method comprises the following steps: acquiring a first projection image and a second projection image when a rotating table is at a first rotation angle and a second rotation angle, and determining a first pixel value and a second pixel value; determining a first X distance and a first Y distance according to the first pixel value, the second pixel value, a number of projection image pixel matrix rows, a detector distance, a rotating table distance and a unit pixel size; determining a second X distance and a second Y distance of multiple subsequent rotations according to the first X distance, the first Y distance and a rotation number; controlling the rotating table to perform a first rotation and controlling a machine table to scan according to the first X distance and the first Y distance; and controlling the rotating table to perform each subsequent rotation and controlling the machine table to scan based on the second X distance and the second Y distance corresponding to each rotation in the multiple subsequent rotations. The application efficiently and conveniently obtains a clear scanning image by pre-calculating the rotating table movement distance and controlling the rotating table movement.

This disclosure provides a method and apparatus for adding watermarks to images, a method and apparatus for detecting watermarks in images, an electronic device, and a storage medium. The method for adding watermarks to images includes: performing a preset number of rotation transformations on an initial pixel matrix corresponding to the original image to which the watermark is to be added, resulting in a rotated pixel matrix, wherein the rotation transformation includes a right-hand rotation or a left-hand rotation; fusing the pixel values ​​of the watermark with the pixel values ​​at corresponding positions in the rotated pixel matrix, resulting in a fused pixel matrix; performing the preset number of inverse rotation transformations on the fused pixel matrix, resulting in a restored pixel matrix with the watermark added; and obtaining a target image with the watermark added based on the restored pixel matrix. This disclosure enables robust reversibility of the watermark added to the image.

The application discloses a periodic two-dimensional interpolation method and device, a storage medium and an electronic device. The periodic two-dimensional interpolation method comprises the following steps: obtaining a two-dimensional pixel matrix of a basic frame, the basic frame having periodicity in at least one direction; determining a normalized coordinate of a to-be-interpolated point relative to the basic frame; determining a pixel index corresponding to a target pixel unit in which the normalized coordinate is located, and determining whether there is an interpolation coefficient corresponding to the target pixel unit in a coefficient cache array according to the pixel index; when there is no interpolation coefficient corresponding to the target pixel unit in the coefficient cache array, calculating the interpolation coefficient corresponding to the target pixel unit according to a prediction strategy; and calculating interpolation of the to-be-interpolated point based on the interpolation coefficient. The embodiment of the application can perform interpolation calculation on an interpolation point located outside a sampling region.

The embodiment of the application discloses a display panel and a preparation method, wherein the display panel comprises a substrate, an encapsulation plate, a pixel matrix and a refraction structure, wherein the substrate is used for arranging the pixel matrix; the encapsulation plate is arranged opposite to the substrate, and a gap is formed between the encapsulation plate and the substrate; the pixel matrix is used for emitting light; the refraction structure is arranged on a first side of the encapsulation plate corresponding to a pixel in the pixel matrix, the refraction structure is used for changing the angle of the light emitted by one or more pixels, and the first side is a side opposite to the substrate; thus, the angle of the light is changed by using the refraction structure, the interference phenomenon of the light is eliminated, and the problem that rainbow stripes appear on the display panel is avoided, and the display effect is improved.

This invention discloses a coal and rock image recognition and classification method based on the fusion of improved CLBP and receptive field theory, belonging to the field of image processing technology. First, the coal and rock image is converted to grayscale, and the pixel values ​​of each point in the grayscale image are extracted to form a pixel value matrix. Then, median processing is used to denoise the pixel matrix to enhance the algorithm's noise resistance. Based on the new pixel matrix obtained after median processing, an improved Complete Local Binary Pattern (CLBP) image feature descriptor is introduced for coal and rock feature extraction. Finally, a network model is used for recognition and classification. Experimental results show that the recognition accuracy of coal and rock in the coal and rock database reaches 94%, and the recognition speed is also better than the original algorithm. This invention can effectively solve the problem of low recognition efficiency of the original algorithm and can efficiently solve practical problems in coal and rock recognition methods, possessing certain practical value.