Man-machine interaction face recognition system for internet games

Abstract

The invention relates to a human-computer interaction face recognition system for an internet game. The human-computer interaction face recognition system comprises a depth-of-field detection device, a primary enhancement device, a secondary enhancement device, a final enhancement device and an intelligent identification mechanism. According to the invention, waste of unnecessary operation resources and time cost can be avoided.

Description

Technical Field

[0001] The present invention relates to the field of human-computer interaction, and in particular to a human-computer interaction face recognition system for Internet games. Background Art

[0002] Human-computer interaction is a technology for human-machine interaction, which is currently widely used in Internet games. For example, CN118862041A discloses a multi-level human-computer identification verification code generation method for interactive games and math problem verification, which includes first randomly acquiring icon image information and color image information, then combining grid template information, generating a first verification code information and sending it to the user end, and then hiding the target sub-grid corresponding to each correct click operation information, and then generating a second verification code information based on a math problem database and sending it to the user end. The technology in this patent can not only significantly enhance the fun of the verification code and improve the user experience, but also effectively ensure the diversity and security of the verification process. By increasing the unpredictability of the verification code, it effectively prevents machine learning and automated attacks from predicting and cracking the verification code, greatly improving the security and protection effect of the system, and also has a high degree of scalability, which can flexibly adapt to changing security requirements and user expectations, and ensure the long-term stable operation of the system.

[0003] CN118862040A discloses a human-machine identification verification code verification method based on interactive games and text verification, which includes first obtaining multiple groups of image information to be combined, then randomly arranging and combining multiple sub-image information to be combined, effectively generating image information to be paired, then sending the image information to be paired to the client and receiving image selection order information, and then accurately generating first verification result information based on the image selection order information, and then based on the first inspection pass information, generating second verification result information according to text verification prompt information and received text information to be verified. . The technology in this patent can effectively prevent automated programs from cracking through fixed patterns, and combined with a multi-level verification mechanism, ensure that only human users can pass the verification, which not only improves the security of the system, but also significantly improves the user experience, and has broad application prospects and practical value. Summary of the invention

[0004] In order to solve the technical problems in related fields, the present invention provides a human-computer interactive facial recognition system for Internet games, which can identify the face of a preset host in the current live broadcast picture of a set live broadcast room based on various visual information on the basis of targeted picture optimization processing to obtain the corresponding face area, and only when the overall imaging depth of field value of the face area is shallower than or equal to the set depth of field limit, trigger the targeted identification of whether the upper and lower facial proportions of the preset host in the current live broadcast picture are unbalanced, so that the imbalance identification of facial proportions is performed only when the preset host is in the live broadcast mode, avoiding unnecessary waste of computing resources and time costs.

[0005] According to the present invention, a human-computer interaction face recognition system for Internet games is provided, the system comprising: A depth-of-field detection device is used to identify the face of a preset anchor in the current live broadcast screen of the set live broadcast room to obtain the corresponding face area, and determine whether to issue a ratio analysis trigger instruction based on the overall imaging depth of field value of the face area; A primary enhancement device, connected to the depth of field detection device, for triggering, upon receiving a ratio analysis trigger instruction, a picture content sharpening process using a spatial differential method to be performed on the received face region, so as to obtain and output a corresponding primary enhanced picture; A secondary enhancement device, connected to the primary enhancement device, for performing picture content enhancement processing by applying exponential transformation on the received primary enhanced picture to obtain and output a corresponding secondary enhanced picture; A final enhancement device, connected to the secondary enhancement device, for performing random noise elimination processing based on Wiener filtering processing on the received secondary enhancement picture to obtain and output a corresponding final enhancement picture; an intelligent identification mechanism connected to the final enhancement device, for obtaining each pixel row occupied by the final enhancement picture, taking the pixel row located in the middle position from top to bottom as the middle pixel row, taking the number of multiple pixel points above the middle pixel row in the final enhancement picture as the first type number, taking the number of multiple pixel points below the middle pixel row in the final enhancement picture as the second type number, and judging whether the upper and lower proportions of the face of the preset anchor in the current live broadcast picture are unbalanced based on whether the ratio of the first type number to the second type number is within a preset ratio value range; Wherein, judging whether the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced based on whether the ratio of the number of the first type to the number of the second type is within a preset ratio numerical range includes: judging that the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced when the ratio of the number of the first type to the number of the second type is outside the preset ratio numerical range; Among them, the face of the preset anchor in the current live broadcast screen of the set live broadcast room is recognized to obtain the corresponding face area, and whether to issue a proportional analysis trigger instruction is determined based on the overall imaging depth of field value of the face area, including: when the overall imaging depth of field value of the face area is shallower than or equal to the set depth of field limit, issuing a proportional analysis trigger instruction, otherwise, temporarily postponing the issuance of the proportional analysis trigger instruction.

[0006] It can be seen that the present invention has at least the following three main inventive concepts: Invention concept 1: Recognize the face of a preset anchor in the current live broadcast screen of a set live broadcast room to obtain the corresponding face area, and only when the overall imaging depth of field value of the face area is shallower than or equal to the set depth of field limit, trigger the targeted identification of whether the upper and lower face proportions of the preset anchor in the current live broadcast screen are unbalanced, so that the imbalance identification of the face proportions is performed only when the preset anchor is in the live broadcast mode, avoiding unnecessary waste of computing resources and time costs; Inventive concept 2: Introducing a targeted picture optimization mechanism including a primary enhancement device, a secondary enhancement device and a final enhancement device to successively perform picture content sharpening processing using a spatial differential method, picture content enhancement processing using an exponential transformation and random noise elimination processing based on a Wiener filter processing on the area where the face of the preset anchor is located, thereby providing better basic data for subsequent identification processing; Inventive concept three: obtaining the area where the face of the preset anchor is located after targeted optimization processing, that is, the pixel rows occupied by the final-level enhanced picture, taking the pixel row in the middle position from top to bottom as the middle pixel row, taking the number of multiple pixel points above the middle pixel row in the final-level enhanced picture as the first type number, and taking the number of multiple pixel points below the middle pixel row in the final-level enhanced picture as the second type number, and judging whether the upper and lower proportions of the face of the preset anchor in the current live broadcast picture are unbalanced based on whether the ratio of the first type number to the second type number is in a preset ratio numerical range, thereby completing the intelligent identification of whether the upper and lower proportions of the face of the preset anchor in the live broadcast scene are unbalanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0008] Figure 1 The structure block diagram of the human-computer interaction facial recognition system for Internet games according to the primary embodiment of the present invention is shown.

[0009] Figure 2 The figure is a structural block diagram of a human-computer interaction facial recognition system for Internet games according to a secondary embodiment of the present invention.

[0010] Figure 3 The figure is a structural block diagram of a human-computer interaction facial recognition system for Internet games according to another embodiment of the present invention. DETAILED DESCRIPTION

[0011] An important application of human-computer interaction is Internet game live broadcasting. Internet game live broadcasting allows viewers to interact with anchors in real time. Viewers can express their emotions and opinions through bullet comments, likes, gifts, etc. The anchor can also adjust the live broadcast content according to the audience's feedback, thus creating a unique shared experience. Internet game live broadcasting provides people with a new social platform where they can meet friends from all over the world, share information, broaden their horizons, and thus improve their personal social skills.

[0012] In order to improve the effect of Internet game live broadcast, it is usually necessary to beautify and beautify the image of the anchor in the final live broadcast picture to improve the playback effect of the final live broadcast picture and attract more online audiences. For example, attention is paid to whether the upper and lower proportions of the anchor's face are unbalanced. If the upper and lower proportions of the anchor's face are at an abnormal ratio value, the anchor's face is in an abnormal shape that makes the online audience uncomfortable, and it is necessary to identify and correct it in time during live broadcast monitoring.

[0013] The following will describe in detail an embodiment of the human-computer interaction facial recognition system for Internet games of the present invention with reference to the accompanying drawings.

[0014] Figure 1 The structure block diagram of the human-computer interaction face recognition system for Internet games according to the primary embodiment of the present invention is shown, and the system includes: A depth-of-field detection device is used to identify the face of a preset anchor in the current live broadcast screen of the set live broadcast room to obtain the corresponding face area, and determine whether to issue a ratio analysis trigger instruction based on the overall imaging depth of field value of the face area; For example, the depth of field detection device is used to identify the face of a preset anchor in the current live broadcast screen of the set live broadcast room to obtain the corresponding face area, and determine whether to issue a proportional analysis trigger instruction based on the overall imaging depth of field value of the face area, including: an SOC device can be selected to implement the depth of field detection device, which is used to identify the face of a preset anchor in the current live broadcast screen of the set live broadcast room to obtain the corresponding face area, and determine whether to issue a proportional analysis trigger instruction based on the overall imaging depth of field value of the face area; A primary enhancement device, connected to the depth of field detection device, for triggering, upon receiving a ratio analysis trigger instruction, a picture content sharpening process using a spatial differential method to be performed on the received face region, so as to obtain and output a corresponding primary enhanced picture; A secondary enhancement device, connected to the primary enhancement device, for performing picture content enhancement processing by applying exponential transformation on the received primary enhanced picture to obtain and output a corresponding secondary enhanced picture; A final enhancement device, connected to the secondary enhancement device, for performing random noise elimination processing based on Wiener filtering processing on the received secondary enhancement picture to obtain and output a corresponding final enhancement picture; an intelligent identification mechanism connected to the final enhancement device, for obtaining each pixel row occupied by the final enhancement picture, taking the pixel row located in the middle position from top to bottom as the middle pixel row, taking the number of multiple pixel points above the middle pixel row in the final enhancement picture as the first type number, taking the number of multiple pixel points below the middle pixel row in the final enhancement picture as the second type number, and judging whether the upper and lower proportions of the face of the preset anchor in the current live broadcast picture are unbalanced based on whether the ratio of the first type number to the second type number is within a preset ratio value range; Wherein, judging whether the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced based on whether the ratio of the number of the first type to the number of the second type is within a preset ratio numerical range includes: judging that the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced when the ratio of the number of the first type to the number of the second type is outside the preset ratio numerical range; Among them, the face of a preset anchor in the current live broadcast screen of the set live broadcast room is recognized to obtain the corresponding face area, and whether to issue a proportional analysis trigger instruction based on the overall imaging depth of field value of the face area includes: when the overall imaging depth of field value of the face area is shallower than or equal to the set depth of field limit, issuing the proportional analysis trigger instruction, otherwise, temporarily suspending the issuance of the proportional analysis trigger instruction; Wherein, judging whether the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced based on whether the ratio of the number of the first type to the number of the second type is within a preset ratio numerical range further includes: judging that the upper and lower ratio of the face of the preset anchor in the current live screen is not unbalanced when the ratio of the number of the first type to the number of the second type is within the preset ratio numerical range; Among them, the face of a preset anchor in the current live broadcast screen of the set live broadcast room is recognized to obtain the corresponding face area, and determining whether to issue a proportional analysis trigger instruction based on the overall imaging depth of field value of the face area also includes: identifying the face area in the current live broadcast screen based on the brightness value distribution range corresponding to the face of the preset anchor.

[0015] Figure 2 The figure is a structural block diagram of a human-computer interaction facial recognition system for Internet games according to a secondary embodiment of the present invention.

[0016] Compared to Figure 1 , Figure 2 The human-computer interaction facial recognition system for Internet games may also include: a radiation amount detection device, which is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively; Among them, the radiation detection device is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is respectively connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, including: the radiation detection device is used to realize on-site measurement of the current radiation amount of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, respectively.

[0017] Figure 3 The figure is a structural block diagram of a human-computer interaction facial recognition system for Internet games according to another embodiment of the present invention.

[0018] Compared to Figure 1 , Figure 3 The human-computer interaction facial recognition system for Internet games may also include: A height detection device is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively; Among them, the height detection device is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is respectively connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, including: the height detection device is used to realize on-site measurement of the current heights of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, respectively.

[0019] Next, the specific structure of the human-computer interaction face recognition system for Internet games of the present invention will be further described.

[0020] In the human-computer interaction facial recognition system for Internet games according to various embodiments of the present invention: A GAL device is used to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

[0021] In the human-computer interaction facial recognition system for Internet games according to various embodiments of the present invention: The GAL device is used to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively, including: performing non-scaling transformation fuzzy processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

[0022] In the human-computer interaction facial recognition system for Internet games according to various embodiments of the present invention: Using a GAL device to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively includes: performing median fuzzy processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

[0023] In the human-computer interaction facial recognition system for Internet games according to various embodiments of the present invention: Using a GAL device to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively includes: performing Gaussian blur processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

[0024] And in the human-computer interaction facial recognition system for Internet games according to various embodiments of the present invention: The GAL device is used to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively, including: performing bilateral filtering fuzzy processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

[0025] In addition, in the human-computer interaction facial recognition system for Internet games, the face of a preset anchor in the current live broadcast screen of the set live broadcast room is recognized to obtain the corresponding face area, and determining whether to issue a proportional analysis trigger instruction based on the overall imaging depth value of the face area also includes: obtaining the imaging depth values ​​corresponding to the respective constituent pixel points of the face area, and determining the overall imaging depth value of the face area based on the imaging depth values; And wherein, obtaining respective imaging depth of field values ​​corresponding to respective constituent pixel points of the area where the face is located, and determining the overall imaging depth of field value of the area where the face is located based on the respective imaging depth of field values ​​comprises: performing arithmetic mean calculation on multiple imaging depth of field values ​​obtained after removing the maximum value and the minimum value of the respective imaging depth of field values, so as to obtain the overall imaging depth of field value of the area where the face is located.

[0026] The human-computer interactive facial recognition system for Internet games of the present invention can address the technical problems in the prior art that it is difficult to effectively identify whether the upper and lower facial proportions of a preset anchor are unbalanced and the timing is difficult to effectively grasp. The system can trigger a targeted identification of whether the upper and lower facial proportions of the preset anchor in the current live broadcast screen are unbalanced only when the overall imaging depth of field value of the area where the face of the preset anchor is located in the current live broadcast screen of the set live broadcast room is shallower than or equal to the set depth of field limit, thereby executing the imbalance identification of facial proportions only when the preset anchor is in the live broadcast mode, thereby avoiding wasting unnecessary computing resources and time costs.

[0027] Many details of the present invention may be changed without departing from its spirit and scope. In addition, the description of the preferred embodiments of the present invention is provided for illustrative purposes only, not for limiting the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A human-computer interaction facial recognition system for Internet games, characterized in that: The system comprises: A depth-of-field detection device is used to identify the face of a preset anchor in the current live broadcast screen of the set live broadcast room to obtain the corresponding face area, and determine whether to issue a ratio analysis trigger instruction based on the overall imaging depth of field value of the face area; A primary enhancement device, connected to the depth of field detection device, for triggering, upon receiving a ratio analysis trigger instruction, a picture content sharpening process using a spatial differential method to be performed on the received face region, so as to obtain and output a corresponding primary enhanced picture; A secondary enhancement device, connected to the primary enhancement device, for performing picture content enhancement processing by applying exponential transformation on the received primary enhanced picture to obtain and output a corresponding secondary enhanced picture; A final enhancement device, connected to the secondary enhancement device, for performing random noise elimination processing based on Wiener filtering processing on the received secondary enhancement picture to obtain and output a corresponding final enhancement picture; an intelligent identification mechanism connected to the final enhancement device, for obtaining each pixel row occupied by the final enhancement picture, taking the pixel row located in the middle position from top to bottom as the middle pixel row, taking the number of multiple pixel points above the middle pixel row in the final enhancement picture as the first type number, taking the number of multiple pixel points below the middle pixel row in the final enhancement picture as the second type number, and judging whether the upper and lower proportions of the face of the preset anchor in the current live broadcast picture are unbalanced based on whether the ratio of the first type number to the second type number is within a preset ratio value range; Wherein, judging whether the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced based on whether the ratio of the number of the first type to the number of the second type is within a preset ratio numerical range includes: judging that the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced when the ratio of the number of the first type to the number of the second type is outside the preset ratio numerical range; Among them, the face of the preset anchor in the current live broadcast screen of the set live broadcast room is recognized to obtain the corresponding face area, and whether to issue a proportional analysis trigger instruction is determined based on the overall imaging depth of field value of the face area, including: when the overall imaging depth of field value of the face area is shallower than or equal to the set depth of field limit, issuing a proportional analysis trigger instruction, otherwise, temporarily postponing the issuance of the proportional analysis trigger instruction.

2. The human-computer interaction facial recognition system for Internet games as claimed in claim 1, characterized in that: The step of judging whether the upper and lower ratio of the face of the preset anchor in the current live screen is unbalanced based on whether the ratio of the number of the first type to the number of the second type is within a preset ratio numerical range further comprises: judging that the upper and lower ratio of the face of the preset anchor in the current live screen is not unbalanced when the ratio of the number of the first type to the number of the second type is within the preset ratio numerical range; Among them, the face of a preset anchor in the current live broadcast screen of the set live broadcast room is recognized to obtain the corresponding face area, and determining whether to issue a proportional analysis trigger instruction based on the overall imaging depth of field value of the face area also includes: identifying the face area in the current live broadcast screen based on the brightness value distribution range corresponding to the face of the preset anchor.

3. The human-computer interaction facial recognition system for Internet games as claimed in claim 2, characterized in that: The system further comprises: a radiation amount detection device, which is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively; Among them, the radiation detection device is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is respectively connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, including: the radiation detection device is used to realize on-site measurement of the current radiation amount of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, respectively.

4. The human-computer interaction facial recognition system for Internet games as claimed in claim 2, characterized in that: The system further comprises: A height detection device is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively; Among them, the height detection device is arranged near the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism and is respectively connected to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, including: the height detection device is used to realize on-site measurement of the current heights of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism, respectively.

5. The human-computer interaction facial recognition system for Internet games as described in any one of claims 2 to 4, characterized in that: A GAL device is used to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

6. The human-computer interaction facial recognition system for Internet games as claimed in claim 5, characterized in that: The GAL device is used to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively, including: performing non-scaling transformation fuzzy processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

7. The human-computer interaction facial recognition system for Internet games as claimed in claim 5, characterized in that: Using a GAL device to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively includes: performing median fuzzy processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

8. The human-computer interaction facial recognition system for Internet games as claimed in claim 5, characterized in that: Using a GAL device to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively includes: performing Gaussian blur processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

9. The human-computer interaction facial recognition system for Internet games as claimed in claim 5, characterized in that: The GAL device is used to perform image data processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively, including: performing bilateral filtering fuzzy processing on the output data of the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism to obtain the output processing data corresponding to the primary enhancement device, the secondary enhancement device, the final enhancement device and the intelligent identification mechanism respectively.

Images