Desktop type high-resolution multi-dimensional optical image intelligent analysis method and device

Abstract

The invention relates to a desktop type high-resolution multi-dimensional optical image intelligent analysis method and device, and belongs to the technical field of optical image analysis. The method comprises the following steps: controlling an imaging device and an integrated desktop objective table through a host, performing synchronous image acquisition on a sample on the objective table, and generating an original multi-dimensional image set; generating a single-frame two-dimensional light and shadow mapping graph through a parallax fusion algorithm, and simulating the three-dimensional morphology characteristics of the sample through gray scale and color gradient change; outputting the dynamic light and shadow mapping graph to a desktop display screen in real time, and loading an interactive light source simulation engine; simulating an illumination effect on the dynamic light and shadow mapping graph in real time; the visual saliency of target features is improved by automatically configuring light source parameters; and according to the optimized rendering result, topological structure features and optical features of the sample are extracted, and a quantitative analysis report is generated. The full-process automation and intelligentization of optical images from multidirectional and multi-view collection to deep analysis and quantitative report generation are realized.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of optical image analysis, and particularly relates to a desktop high-resolution multi-dimensional optical image intelligent analysis method and device. BACKGROUND

[0002] The demand for quantification of micron-level surface morphology (scratches, corrosion, texture) in the fields of industrial detection / antique analysis, etc. is increasing rapidly; traditional single-angle imaging cannot meet the accurate analysis of complex three-dimensional features (curvature, concave, reflective area); High-precision optical detection equipment is generally a large vertical system, the object table needs to be independently supported by a base, and the light source controller is external, resulting in a large equipment volume; traditional dome light sources have a narrow wavelength range (usually 400-700nm) and LED unit group control, which cannot be independently tuned; tilt photography, RTI, etc. have realized multi-angle synchronous acquisition, but there are still timing misalignment problems in multi-device cooperation; Parallax fusion, light and shadow rendering algorithms have made progress in light field image processing, and GPU accelerated rendering has gradually become popular. However, high-resolution data processing still relies on offline calculation, which cannot support real-time interaction.

[0003] Multi-dimensional optical image technology is in a critical period of transformation from high-precision offline analysis to compactness, real-time and automation, but hardware cooperation, algorithm efficiency and standardization degree have not yet met the needs of desktop integrated systems. SUMMARY

[0004] To solve the above problems in the prior art, the present application provides a desktop high-resolution multi-dimensional optical image intelligent analysis method and device, and the purpose of the present application can be achieved through the following technical solutions: A desktop high-resolution multi-dimensional optical image intelligent analysis method, comprising: S1: driving a high-resolution optical lens to perform multi-directional and multi-view synchronous image acquisition on a sample on an object table through a host control imaging device and an integrated desktop object table, to generate an original multi-dimensional image set; S2: generating a two-dimensional light and shadow mapping image through a parallax fusion algorithm based on the multi-dimensional image set, the two-dimensional light and shadow mapping image simulating three-dimensional topographic features of the sample through changes in gray scale and color gradient; S3: real-time outputting the dynamic light and shadow mapping image to a desktop display screen and loading an interactive light source simulation engine; S4: simulating light effects of different directions, intensities and spectra on the dynamic light and shadow mapping image in real time according to the interactive light source simulation engine; and improving the visual saliency of target features by automatically configuring light source parameters based on a preset analysis target; S5: According to the optimized rendering result, the topological structure features and optical features of the sample are extracted to generate a quantitative analysis report.

[0005] Specifically, the method of synchronously collecting images in S1 is: positioning the sample by controlling the rotating sample stage, and collecting RTI images under different incident angles of the dome light source.

[0006] Specifically, the desktop sample stage in S1 adopts a three-dimensionally sized desktop mounting structure, which is directly integrated into the main machine operating plane without the need for an independent support base; the light source control and sample positioning are integrated into a single sample stage body through modular design.

[0007] Further, the light source control is realized through a miniaturized control module integrated in the upper connecting structure of the dome light source; the dome light source is a low-profile, detachable multi-angle LED array dome suspended above the sample stage, covering the sample area, for providing multi-angle incident light from above the sample; the sample stage is a planar platform located directly below the dome light source for carrying the sample.

[0008] Preferably, the miniaturized control module includes a distributed driving circuit, a dome integrated heat dissipation structure, a high-speed communication interface, and a synchronous trigger unit. The distributed driving circuit uses multiple micro high-integration LED driving chips, which are directly embedded in the structure layer of the dome light source, independently control the LED units in different areas of the dome, and realize precise adjustment of the incident angle and brightness. The dome integrated heat dissipation structure independently designs a heat conduction path and a micro heat dissipation fan inside the dome light source shell, uses the space of the dome itself for heat dissipation, and ensures long-term stable operation of the light source under the limitation of the desktop space. The high-speed communication interface is directly connected from the dome light source to the desktop host through the built-in high-speed serial bus, receives light source parameter instructions and feeds back state information, and the communication cable is led out through the dome support structure. The synchronous trigger unit integrates a hardware trigger signal generator in the dome control module, maintains precise timing synchronization with the imaging device and the sample stage motion controller, and ensures that image collection is completed at the moment of turning on the light source at different angles.

[0009] Specifically, the LED array of the dome light source in S1 uses full-spectrum adjustable units with a wavelength range of 380-780 nm, and the color temperature and brightness of each LED unit are independently adjusted by the distributed driving circuit of the miniaturized control module to realize multi-spectral layered development of the sample surface texture; the synchronous trigger unit generates a hardware-level trigger pulse during image collection to ensure synchronization of the exposure period of the imaging device and the switching of LED illumination.

[0010] Specifically, the parallax fusion algorithm is realized by the imaging software of the host, which performs multi-scale decomposition processing on the multi-dimensional image set, separates each frame of image into low-frequency contour information and high-frequency texture information, performs parallax correction and three-dimensional topographic contrast fusion on the low-frequency contour information, extracts small-scale texture and medium-scale edge features of the high-frequency texture information, reconstructs the image through inverse multi-scale transformation, superimposes the fused low-frequency contour information and high-frequency texture information to generate a single two-dimensional light shadow mapping image, and adopts bottleneck distance quantization to evaluate the topological structure consistency of the reconstructed image and the original multi-dimensional image set.

[0011] Specifically, the interactive light source simulation engine is realized based on a GPU-accelerated ray tracing architecture, and specifically includes: A light source abstract model library is used to preset basic light models of parallel light, point light, spotlight and ambient light and mixed variants thereof; A real-time rendering pipeline adopts a hybrid radiation / shadow volume rendering technology and supports dynamic adjustment of light source direction, intensity and spectral parameters; A parameter optimization module dynamically adjusts the superposition weight of multiple light sources by analyzing the gray gradient distribution of the target feature area, thereby enhancing the visual saliency of the texture topography; A physical light verification module has a built-in lighting standard parameter library to verify the compliance of the lighting parameters in real time.

[0012] Specifically, the quantitative analysis report includes: A three-dimensional topological quantization matrix is used to extract topological structure features, generate a three-dimensional grid density distribution map of the sample surface, and label the curvature radius, height gradient and deformation tolerance threshold of the key area; A multi-spectral feature vector set is used to analyze optical features into a wavelength-reflectivity matrix, which contains feature wavelength reflectivity peak values, half-wave width data and deviation coefficients from the standard spectrum library corresponding to the preset analysis target; A dynamic visualization report engine is used to generate an interactive three-dimensional model through GPU parallel computing, display local topographic parameters in real time by clicking on feature areas, and superimpose optical parameter comparison curves under different light source simulation conditions; A compliance verification label is used to automatically label whether the key parameters in the report meet the detection standards according to the built-in standard library of the physical light verification module.

[0013] A desktop high-resolution multi-dimensional optical image intelligent analysis device includes: A multi-angle image synchronous acquisition module is used to drive a high-resolution optical lens to perform multi-directional and multi-view synchronous image acquisition on a sample on a sample stage through host control of an imaging device and an integrated desktop sample stage, thereby generating an original multi-dimensional image set; A pseudo-three-dimensional light and shadow mapping synthesis module is configured to generate a single-frame two-dimensional light and shadow mapping diagram based on the multi-dimensional image set through a parallax fusion algorithm, and the two-dimensional light and shadow mapping diagram simulates the three-dimensional topographic features of the sample through changes in gray scale and color gradient; An interactive light source engine loading module is configured to output the dynamic light and shadow mapping diagram to a desktop display screen in real time and load an interactive light source simulation engine; An adaptive light source optimization analysis module is configured to simulate the lighting effects of different directions, intensities and spectra on the dynamic light and shadow mapping diagram in real time according to the interactive light source simulation engine, and to improve the visual saliency of target features by automatically configuring light source parameters based on a preset analysis target; A feature quantization interpretation module is configured to extract the topological structure features and optical features of the sample according to the optimized rendering result and generate a quantitative analysis report.

[0014] The desktop high-resolution multi-dimensional optical image intelligent analysis method and device provided by the application has many advantages. In terms of space utilization, the three-dimensional size of the desktop stage is optimized and modularly integrated, so that the equipment can be efficiently arranged in a limited desktop space without the need for an independent support base, saving laboratory space and improving operational convenience. In terms of image acquisition, the multi-angle image synchronous acquisition module combined with the dome light source can accurately acquire sample images from different directions and angles, generating a rich set of original multi-dimensional images to provide a sufficient data basis for subsequent analysis.

[0015] The combination of the parallax fusion algorithm and the pseudo-three-dimensional light and shadow mapping synthesis module cleverly converts the multi-dimensional image set into a single-frame two-dimensional light and shadow mapping diagram, which vividly simulates the three-dimensional topographic features of the sample through changes in gray scale and color gradient, allowing the details of the sample to be clearly displayed. The setting of the interactive light source simulation engine and its related modules gives users high autonomy and flexibility in simulating different lighting effects, and automatically optimizes the light source parameters according to the preset analysis target, greatly improving the visual saliency of the target features and facilitating more accurate observation and analysis of the sample.

[0016] The quantitative analysis report provides an in-depth interpretation of the sample from multiple dimensions such as topological structure and optical features, and generates a three-dimensional topological quantization matrix and a multi-spectral feature vector set, providing comprehensive and accurate data support for researchers and relevant practitioners. The presence of the compliance verification label ensures the reliability and standardization of the analysis results, making the entire analysis process more scientific and rigorous. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to facilitate understanding by those skilled in the art, the application will be further described below with reference to the accompanying drawings.

[0018] Fig. 1A flowchart of a desktop high-resolution multi-dimensional optical image intelligent analysis method of the present application is shown in the figure. Fig. 2 A structural block diagram of a desktop high-resolution multi-dimensional optical image intelligent analysis device of the present application is shown in the figure. Fig. 3 A structural diagram of a desktop high-resolution multi-dimensional optical image intelligent analysis device of the present application is shown in the figure. DETAILED DESCRIPTION

[0019] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined object, the specific embodiments, structures, features and effects of the present application are described in detail below in combination with the drawings and preferred embodiments.

[0020] Please refer to Figs. 1-3 A desktop high-resolution multi-dimensional optical image intelligent analysis method, comprising: S1: driving a high-resolution optical lens to perform multi-directional and multi-view synchronous image acquisition on a sample on a sample stage through a host control imaging device and an integrated desktop sample stage, to generate an original multi-dimensional image set; S2: generating a two-dimensional light-mapping image through a parallax fusion algorithm based on the multi-dimensional image set, the two-dimensional light-mapping image simulating three-dimensional topographic features of the sample through changes in gray scale and color gradient; S3: outputting the dynamic light-mapping image to a desktop display screen in real time and loading an interactive light source simulation engine; S4: simulating lighting effects of different directions, intensities and spectra on the dynamic light-mapping image in real time according to the interactive light source simulation engine; based on a preset analysis target, automatically configuring light source parameters to improve the visual saliency of target features; S5: extracting topological structure features and optical features of the sample according to the optimized rendering result, to generate a quantitative analysis report.

[0021] Specifically, the method of the synchronous image acquisition in S1 is: positioning the sample through a control rotating sample stage, and collecting RTI images under different incident angles of light sources through a dome light source.

[0022] In this embodiment, the synchronous image acquisition method not only ensures that the images of the sample under different angles and lighting conditions can be accurately captured, but also improves the pertinence and effectiveness of image acquisition through precise positioning of the rotating stage. In actual operation, the operator can flexibly adjust the position of the rotating stage and the incident angle of the dome light source according to the characteristics of the sample and the analysis requirements to obtain the most required original multi-dimensional image set. Moreover, since the LED array of the dome light source adopts a full-spectrum adjustable unit, it can realize multi-spectral layering of the sample surface texture, which makes the collected images contain more sample information and provides a more solid data foundation for subsequent analysis. At the same time, the synchronous triggering unit ensures that the exposure period of the imaging equipment is synchronized with the LED lighting switching, further improving the quality and accuracy of image acquisition.

[0023] Specifically, the desktop stage in S1 adopts a three-dimensional size optimized desktop mounting structure, which is directly integrated into the main machine operation plane without the need for an independent support base; the light source control and sample positioning are integrated into a single stage body through modular design.

[0024] In this embodiment, the stage body is precisely processed and formed from high-strength lightweight materials, and its three-dimensional size is optimized through strict ergonomics and equipment layout. It is directly and stably mounted on the top of the main machine shell or a specially designed operation plane through a standardized quick-release interface, completely abandoning the large independent base required by traditional microscopes or imaging systems, significantly saving valuable desktop space, and simplifying the installation process. The stage body integrates the driving circuit of the dome light source and the LED array control unit. Through the multifunctional interface (USB-C or Ethernet) on the side of the stage body or wireless connection, it communicates with the host computer, receives host instructions, and accurately adjusts the brightness, color temperature, and specific wavelength of hundreds of independently controllable full-spectrum LED units in the dome light source. Users do not need to connect or manage additional light source controllers.

[0025] The stage body integrates a high-precision electric rotating platform (usually driven by a stepper motor or a servo motor, with a high-resolution encoder). The platform has 360° continuous rotation capability and micron-level repeat positioning accuracy. The rotation control instructions are also issued by the host computer through the interface integrated in the stage body, and the operator can intuitively set the rotation angle, speed, or perform multi-point positioning collection through the software interface.

[0026] The rotating platform of the stage body provides a universal sample clamp interface on the top, which can quickly adapt to samples of various sizes and shapes (from small parts to small cultural relic fragments). Some models also integrate a miniature XYZ fine adjustment platform for fine focusing or positioning of small areas of the sample.

[0027] This deep modular design integrates all key functional components (rotation mechanism, motor drive, light source control circuit, communication module) compactly within a single, solid stage housing. This not only greatly simplifies system wiring (usually only one cable is needed to connect the host power supply and communication), reduces failure points, but also ensures strict mechanical alignment and timing coordination between the subsystems (rotation, illumination). At the same time, the integrated design also improves the portability and anti-interference ability of the equipment.

[0028] Further, the light source control is realized by a miniaturized control module integrated in the upper connection structure of the dome light source; the dome light source is a low-profile, detachable multi-angle LED array dome suspended above the stage, covering the sample area, for providing multi-angle incident light from above the sample; the stage is a flat platform located directly below the dome light source for carrying the sample.

[0029] Preferably, the miniaturized control module includes a distributed drive circuit, a dome integrated heat dissipation structure, a high-speed communication interface, and a synchronous trigger unit. The distributed drive circuit uses multiple micro high-integration LED drive chips directly embedded in the structure layer of the dome light source, independently controls the LED units in different areas of the dome, and realizes precise adjustment of incident angle and brightness. The dome integrated heat dissipation structure independently designs a heat conduction path and a micro cooling fan inside the dome light source housing, uses the space of the dome itself for heat dissipation, and ensures stable operation of the light source for a long time under the limitation of desktop space. The high-speed communication interface is directly connected to the desktop host through the built-in high-speed serial bus from the dome light source, receives light source parameter instructions and feeds back state information, and the communication cable is led out through the dome support structure. The synchronous trigger unit integrates a hardware trigger signal generator in the dome control module, maintains precise timing synchronization with the imaging equipment and stage motion controller, and ensures image acquisition at the moment of lighting different angle light sources.

[0030] In this embodiment, the distributed driving circuit abandons the traditional centralized large light source controller, and adopts multiple miniature high-integration LED driving chips. These chips are directly embedded in the structural layer inside the dome light source and distributed near the corresponding LED unit group. Each miniature driving chip is responsible for controlling the LED unit group in a specific sector or annular area of the dome light source. This distributed architecture greatly shortens the driving signal transmission path, reduces signal attenuation and interference. Receiving instructions from the host (through a high-speed communication interface), each driving chip can independently and in parallel perform high-precision pulse width modulation or constant current driving on the LED units in its jurisdiction area, realizing: independent lighting / dimming of specific LED groups in a certain direction and height, simulating any direction of incident light; fine control of the brightness of each or each group of LEDs; independent adjustment of the intensity of different color temperature or specific wavelength LEDs to achieve complex spectral combination.

[0031] The dome integrated heat dissipation structure adopts an embedded heat conduction path, and an irregular copper heat pipe or a high thermal conductivity metal substrate is precisely embedded inside the dome shell. These heat conduction elements are in close contact with the heat dissipation pads of the driving chips and the LED substrate, forming an efficient "point (heat source) - line (heat pipe) - surface (shell)" heat conduction network.

[0032] Ultra-thin, low-noise micro fans are integrated at key positions in the non-optical path of the dome structure. The airflow generated by the fan flows through the pre-designed air duct inside the dome shell, accelerating the exhaust of hot air from the pre-designed vent of the dome. The shell heat dissipation makes full use of the large area of the inner / outer surface of the dome shell as a passive heat sink.

[0033] The high-speed communication interface adopts a built-in high-speed serial bus protocol (USB 3.x Gen1 / 2, GigabitEthernet,). The communication physical interface (USB-C, RJ45) is directly integrated on the circuit board of the miniature control module. The communication cable is led out through the support arm or the dedicated cable management channel of the dome light source and connected to the host. Only a single cable is needed to complete power supply and high-speed data communication, minimizing exposed cables and keeping the desktop clean.

[0034] The synchronous trigger unit integrates a dedicated hardware trigger signal generator in the miniature control module.

[0035] It receives accurate position / angle feedback signals from the host or stage motion controller. It receives exposure trigger signals from the imaging device. According to the preset synchronization logic and extremely short fixed delay, it generates accurate trigger pulse signals in real time to directly drive the corresponding distributed LED driving chips, ensuring that the target LED group has reached the set brightness and remains stable within the precise time window of the camera sensor exposure. At the same time, this unit also coordinates the stable state signal after the stage rotates to the position, realizing the hard synchronization of "position-illumination-imaging".

[0036] Specifically, the LED array of the dome light source in S1 adopts a full-spectrum adjustable unit with a wavelength range of 380-780 nm, and the color temperature and brightness of each LED unit are independently adjusted by the distributed driving circuit of the miniaturized control module to realize the multi-spectral layered imaging of the sample surface texture; the synchronous trigger unit generates a hardware-level trigger pulse during image acquisition to ensure that the exposure period of the imaging device is synchronized with the switching of the LED illumination.

[0037] Specifically, the parallax fusion algorithm is realized by the imaging software of the host, which performs multi-scale decomposition processing on the multi-dimensional image set, separates each frame of image into low-frequency contour information and high-frequency texture information; the low-frequency contour information is subjected to parallax correction and three-dimensional topographic contrast fusion, the small-scale texture and medium-scale edge features of the high-frequency texture information are extracted, the image is reconstructed through inverse multi-scale transformation, the fused low-frequency contour information and high-frequency texture information are superimposed to generate a single two-dimensional light and shadow mapping image, and the bottleneck distance quantization is used to evaluate the topological structure consistency of the reconstructed image and the original multi-dimensional image set.

[0038] Specifically, the interactive light source simulation engine is realized based on a GPU-accelerated ray tracing architecture, and specifically includes: A light source abstract model library is used to preset the basic light models of parallel light, point light, spotlight and ambient light and their mixed variants; A real-time rendering pipeline is used to support dynamic adjustment of light source direction, intensity and spectral parameters by using hybrid radiance / shadow volume rendering technology; A parameter optimization module is used to dynamically adjust the multi-light source superposition weight by analyzing the gray gradient distribution of the target feature area to enhance the visual saliency of the texture topography; A physical light verification module is used to real-time verify the compliance of the lighting parameters by built-in lighting standard parameter library.

[0039] Specifically, the quantitative analysis report includes: A three-dimensional topological quantization matrix is used to extract topological structure features, generate a three-dimensional grid density distribution map of the sample surface, and label the curvature radius, height gradient and deformation tolerance threshold of the key area; A multi-spectral feature vector set is used to analyze the optical features into a wavelength-reflectivity matrix, which contains the feature wavelength reflectivity peak, half-wave width data and deviation coefficient from the standard spectrum library corresponding to the preset analysis target; A dynamic visualization report engine is used to generate an interactive three-dimensional model through GPU parallel computing, display the local topography parameters in real time by clicking on the feature area, and superimpose the optical parameter comparison curves under different light source simulation conditions; A compliance verification label is used to automatically label whether the key parameters in the report meet the detection standards according to the built-in standard library of the physical light verification module.

[0040] A desktop high-resolution multi-dimensional optical image intelligent analysis device, comprising: A multi-angle image synchronous acquisition module, configured to drive a high-resolution optical lens to perform multi-directional and multi-view synchronous image acquisition on a sample on a sample stage through a host control imaging device and an integrated desktop sample stage, and generate an original multi-dimensional image set; A pseudo-three-dimensional light and shadow mapping synthesis module, configured to generate a two-dimensional light and shadow mapping image through a parallax fusion algorithm based on the multi-dimensional image set, and simulate three-dimensional topographic features of the sample through changes in gray scale and color gradient of the two-dimensional light and shadow mapping image; An interactive light source engine loading module, configured to output the dynamic light and shadow mapping image to a desktop display screen in real time, and load an interactive light source simulation engine; An adaptive light source optimization analysis module, configured to simulate lighting effects of different directions, intensities and spectra on the dynamic light and shadow mapping image in real time according to the interactive light source simulation engine, and improve visual saliency of a target feature by automatically configuring light source parameters based on a preset analysis target; A feature quantization interpretation module, configured to extract topological structure features and optical features of the sample according to an optimized rendering result, and generate a quantitative analysis report.

[0041] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as above with a preferred embodiment, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content without departing from the scope of the technical solution of the present application, and any simple modification, equivalent change and modification of the above embodiment according to the technical essence of the present application are still within the scope of the technical solution of the present application.

Claims

1. A desktop high-resolution multi-dimensional optical image intelligent analysis method, characterized in that, The method comprises the following steps: S1: Control the imaging device and the integrated desktop stage by the host to drive the high-resolution optical lens to collect multi-angle and multi-view synchronous images of the sample on the stage, and generate a raw multi-dimensional image set; S2: Based on the multi-dimensional image set, generate a two-dimensional light and shadow mapping image through a parallax fusion algorithm, which simulates the three-dimensional topographic features of the sample through the changes of gray scale and color gradient; S3: Real-time output the dynamic light and shadow mapping image to the desktop display screen, and load an interactive light source simulation engine; S4: Simulate the lighting effects of different directions, intensities and spectra on the dynamic light and shadow mapping image based on the interactive light source simulation engine; and improve the visual saliency of the target features by automatically configuring the light source parameters based on the preset analysis target; S5: Extract the topological structure features and optical features of the sample based on the optimized rendering result, and generate a quantitative analysis report.

2. The method of claim 1, wherein, The method of synchronous image collection in S1 is to control the rotation of the stage to position the sample, and to collect RTI images under different incident angles of the dome light source.

3. The method of claim 1, wherein, The desktop stage in S1 adopts a three-dimensionally optimized desktop mounting structure, which is directly integrated into the host operating plane without the need for a separate support base; and the light source control and sample positioning are integrated into a single stage body through modular design.

4. The method of claim 3, wherein, The light source control is realized by a miniaturized control module integrated into the upper connecting structure of the dome light source; the dome light source is a low-profile, detachable multi-angle LED array dome suspended above the stage, covering the sample area, for providing multi-angle incident light from above the sample; and the stage is a flat platform located directly below the dome light source for carrying the sample.

5. The method of claim 4, wherein, The miniaturized control module includes a distributed driving circuit, a dome integrated heat dissipation structure, a high-speed communication interface, and a synchronous trigger unit. The distributed driving circuit uses multiple miniaturized high-integration LED driving chips, which are directly embedded in the structure layer of the dome light source, independently control the LED units in different areas of the dome, and realize precise adjustment of the incident angle and brightness. The dome integrated heat dissipation structure independently designs a heat conduction path and a micro cooling fan inside the dome light source shell, uses the space of the dome itself for heat dissipation, and ensures long-term stable operation of the light source under the limitation of the desktop space; The high-speed communication interface is directly connected to the desktop host through the built-in high-speed serial bus from the dome light source, receives light source parameter instructions and feeds back state information, and the communication cable is led out through the dome support structure; The synchronous trigger unit integrates a hardware trigger signal generator into the dome control module, maintains precise timing synchronization with the imaging device and the stage motion controller, and ensures that image collection is completed at the moment when the light source of different angles is turned on.

6. The method of claim 1, wherein, The LED array of the dome light source in S1 adopts a full-spectrum adjustable unit with a wavelength range of 380nm-780nm, and the color temperature and brightness of each LED unit are independently adjusted by a distributed driving circuit of a miniaturized control module to realize multi-spectral layered imaging of the sample surface texture; a synchronous triggering unit generates a hardware-level triggering pulse during image acquisition to ensure that the exposure period of the imaging device is synchronized with the switching of the LED illumination.

7. The method of claim 1, wherein, The parallax fusion algorithm is realized by imaging software of a host computer, the imaging software performs multi-scale decomposition processing on the multi-dimensional image set, separates each frame of image into low-frequency contour information and high-frequency texture information, performs parallax correction and three-dimensional topographic contrast fusion on the low-frequency contour information, extracts small-scale texture and medium-scale edge features of the high-frequency texture information, reconstructs the image through inverse multi-scale transformation, superimposes the fused low-frequency contour information and high-frequency texture information to generate a single two-dimensional light and shadow mapping image, and adopts a bottleneck distance quantization to evaluate the topological structure consistency of the reconstructed image and the original multi-dimensional image set.

8. The method of claim 1, wherein, The interactive light source simulation engine is realized based on a GPU-accelerated ray tracing architecture, and specifically includes: a light source abstract model library for presetting basic light models of parallel light, point light, spotlight and ambient light and mixed variants thereof; a real-time rendering pipeline adopting a hybrid radiation / shadow volume rendering technology, supporting dynamic adjustment of light source direction, intensity and spectral parameters; a parameter optimization module for dynamically adjusting multi-light source superposition weights by analyzing the gray gradient distribution of a target feature region to enhance the visual saliency of the texture topography; a physical light verification module with an internal built-in lighting standard parameter library for real-time verification of the compliance of lighting parameters.

9. The method of claim 1, wherein, The quantitative analysis report includes: a three-dimensional topological quantization matrix for extracting topological structure features, generating a three-dimensional grid density distribution map of the sample surface, and labeling the curvature radius, height gradient and deformation tolerance threshold of the key region; a multi-spectral feature vector set for analyzing optical features into a wavelength-reflectivity matrix, which contains feature wavelength reflectivity peak values, half-wave width data and deviation coefficients from a standard spectral library corresponding to a preset analysis target; a dynamic visual report engine for generating an interactive three-dimensional model through GPU parallel computing, displaying local topographic parameters in real time by clicking on a feature region, and superimposing optical parameter comparison curves under different light source simulation conditions; a compliance verification label for automatically labeling whether the key parameters in the report meet the detection standards according to the built-in standard library of the physical light verification module.

10. A desktop high-resolution multi-dimensional optical image intelligent analysis device for performing the method according to any one of claims 1 to 9, characterized in that, It includes: a multi-angle image synchronous acquisition module for driving a high-resolution optical lens to perform multi-directional and multi-view synchronous image acquisition on a sample on a desktop-type sample stage through host control of an imaging device to generate an original multi-dimensional image set; a pseudo-three-dimensional light and shadow mapping synthesis module for generating a single two-dimensional light and shadow mapping image through a parallax fusion algorithm based on the multi-dimensional image set, the two-dimensional light and shadow mapping image simulating the three-dimensional topographic features of the sample through gray and color gradient changes; an interactive light source engine loading module for real-time outputting the dynamic light and shadow mapping image to a desktop display screen and loading an interactive light source simulation engine. An adaptive light source optimization analysis module is configured to simulate the lighting effects of different directions, intensities and spectrums in real time on the dynamic light mapping according to the interactive light source simulation engine; and to improve the visual saliency of target features by automatically configuring light source parameters based on preset analysis targets; A feature quantization interpretation module is configured to extract the topological structure features and optical features of samples according to the optimized rendering results, and to generate a quantization analysis report.

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