Image processing fusion system and method

Abstract

The invention relates to the technical field of image processing, in particular to an image processing fusion system and method, and the system comprises a camera module which is used for photographing target image data, and a storage module which is used for receiving the target image data photographed by the camera module and storing the target image data; the segmentation module is used for acquiring the target image data stored in the storage module, segmenting the target image data, and segmenting each group of target image data to obtain a group of sub-target image data; according to the invention, through focusing control in a target image data shooting stage, a plurality of groups of target image data under the same visual angle are continuously acquired, and conditions are further provided for fusion processing of the target image data based on segmentation and sufficiency of the plurality of groups of target image data, so that fusion processing is carried out on the target image data according to a specified logic; finally, the output of the fused image is realized, and the target image data output in this way is higher in image quality and more obvious in detail feature and definition.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and particularly relates to an image processing fusion system and method. Background Art

[0002] Image fusion is a technology that combines multiple images into a new image. Through a specific algorithm, the overlapping regions of different images are fused, so that the fused image not only retains the key information of each source image, but also eliminates the stitching traces and achieves natural transition. It is widely used in the fields of medicine, remote sensing, computer vision, etc.

[0003] A patent for invention with the application number 202111420373.0 discloses an image fusion processing method, which is characterized in that, in the state where a sub-goal is marked as a feature sub-goal, the current first state parameter of the target body is obtained; wherein, the target body is used to represent the player character in a third-person game; a first control parameter is formed according to the first motion parameter; a first calculation parameter is formed according to the first control parameter and the basic parameters of the feature sub-goal; a control instruction acting on the feature sub-goal is formed according to the first calculation parameter, so that the feature sub-goal forms a motion trajectory matching the first state parameter under the action of the first calculation parameter; wherein, forming a control instruction acting on the feature sub-goal according to the first calculation parameter, so that the feature sub-goal forms a motion trajectory matching the first state parameter under the action of the first calculation parameter specifically includes, forming a first offset data according to the first calculation parameter; forming the control instruction according to the first offset data; assigning the control instruction to the prefabricated parameters of the feature sub-goal so that the feature sub-goal forms a motion trajectory matching the first state parameter under the action of the first calculation parameter; wherein, forming a first calculation parameter according to the first control parameter and the basic parameters of the feature sub-goal specifically includes: forming a first configuration parameter and a curve according to the first control parameter; forming a first control instruction according to the first configuration parameter and the curve; forming a first calculation parameter according to the control instruction and the basic parameters of the feature sub-goal; wherein, through the first configuration parameter and the curve, smooth control of the speed is realized, and the curve at least includes: an acceleration curve, a decay rate curve.

[0004] This application aims to solve the problem that: "When the game character is in front of the perspective point and the game character currently has special effects, when the player controls the game character to perform actions such as running fast and turning around, the special effect picture moves rigidly with the character,

[0005] making the game screen feel rather rigid and reducing the player's gaming experience."

[0006] However, for the processing technology of single-frame camera captured images, the central aim is to improve the quality of the captured images. Most of the existing image processing methods achieve image processing through means such as image color channels and parameter adjustment, and there are varying degrees of deviations in their processing results compared to the actual color effects of the images.

[0007] For this reason, we propose an image processing fusion system and method. Summary of the Invention

[0008] In view of the above-mentioned shortcomings of the prior art, the present invention provides an image processing fusion system and method, which solves the technical problems proposed in the above background art.

[0009] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0010] In a first aspect, an image processing fusion system includes:

[0011] A camera module for capturing target image data: a storage module for receiving the target image data captured by the camera module and storing the target image data; a segmentation module for obtaining the target image data stored in the storage module, segmenting the target image data, and obtaining a set of sub-target image data from each set of target image data; a configuration module for receiving the sub-target image data segmented by the segmentation module and configuring a layer for each sub-target image data; a fusion module for receiving the sub-target image data with layer configuration completed and performing a fusion process on the sub-target image data on the layer; an enhancement module for receiving the target image data output after the fusion module performs a fusion process on the sub-target image data on the layer, performing an enhancement process on it, and outputting it.

[0012] Furthermore, a sub-module is provided under the camera module, including:

[0013] A division unit for dividing the shooting area when the camera module captures target image data;

[0014] A focusing unit for receiving the shooting areas divided by the division unit and performing a focusing process on each divided shooting area;

[0015] Among them, the number of shooting areas when the camera module captures target image data divided by the division unit is user-defined by the system end, and it is subject to the condition that the size and shape of each divided area are the same, and the total number of divided areas is not less than four groups. It also follows that the higher the image accuracy requirement, the more the total number of divided areas, and vice versa, the fewer the total number of divided areas. When the focusing unit performs a focusing process on the divided shooting areas, it uses the center of the divided shooting area as the focusing position to perform the focusing process, and after each focusing operation is completed, the camera module performs a shooting of the target image data once.

[0016] Further, after receiving the target image data, before storing the target image data, the storage module synchronously marks the target image data, further binds the focus position used during the shooting of the target image data to the mark of the target image data, and then performs the storage operation of the target image data;

[0017] Among them, the focus position used during the shooting of the target image data is expressed as M·N, where M represents the horizontal position of the shooting area where focusing is performed during the shooting of the target image data, and N represents the vertical position of the shooting area where focusing is performed during the shooting of the target image data.

[0018] Further, a sub-module is provided inside the segmentation module, including:

[0019] An identification unit, which is used to receive the target image data obtained by the segmentation module, identify the focus position corresponding to the mark of the target image data, and use the boundary of the shooting area where the focus position is located as the segmentation path for the segmentation module to segment the target image data;

[0020] Among them, the segmentation module and the identification unit run continuously, and a set of sub-target image data is segmented from each set of target image data, and all the segmented sub-target image data is stored.

[0021] Further, the layer size of the sub-target image data configured in the configuration module is equal to the size of the entire icon image data and has the same shape. When the sub-target image data is placed in the layer, it is placed at the corresponding position in the layer relative to the target image data.

[0022] Further, a sub-module is provided at the lower level of the configuration module and the upper level of the fusion module, including:

[0023] A selection unit, which is used to select the sub-target image data that has completed layer configuration;

[0024] A merging unit, which is used to obtain the sub-target image data that has completed fusion in the fusion module and merge the corresponding layers of the sub-target image data that has completed fusion;

[0025] Among them, the sub-target image data selected by the selection unit for the first run is: two sets of sub-target image data adjacent to the shooting area divided in the target image data. The sub-target image data selected by the selection unit for subsequent runs is: the image data obtained by the fusion module in the previous run and a set of sub-target image data adjacent to the shooting area of this image data in the target image data, and so on, until all sub-target image data has been selected by the selection unit once.

[0026] Furthermore, the fusion processing logic for the sub-target image data in the fusion module is expressed as:

[0027]

[0028] In the formula: R fused , G fused , B fused are the R, G, and B channel pixel values of the fusion boundary pixels of two sets of sub-target image data for which fusion processing is performed; f(x) is the fusion function; R a (x, y), G a (x, y), B a (x, y) are the R, G, and B channel pixel values of the fusion boundary pixel (x, y) on the sub-target image data a; R b (x′, y′), G b (x′, y′), B b (x′, y′) are the R, G, and B channel pixel values of the fusion boundary pixel (x′, y′) on the sub-target image data b;

[0029] Among them, the fusion function f(x) takes values of 1, 0, or x < w a , then f(x) = 1, x ≥ w a , and x < w a + w b , then x ≥ w a + w b , then f(x) = 0, x is the fusion position length; w a , w b are the widths of the sub-target image data a and the sub-target image data b. Based on the above formula, all the fusion boundary pixels of two sets of sub-target image data for which fusion processing is performed are processed to complete the fusion of the connection boundary of the sub-target image data.

[0030] Furthermore, the further enhancement processing logic for the target image data after the fusion processing in the enhancement module is expressed as:

[0031] I(x, y)′ = a × (I(x, y) - I min ) + b;

[0032] In the formula: I(x, y)′ is the pixel value of the target image data after the enhancement processing; a, b are adjustment parameters; I(x, y) is the pixel value of the target image data after the fusion processing; I min is the minimum pixel value of I(x, y);

[0033] Among them, the adjustment parameters; a, b are user-defined by the system end, or follow Based on the above formula, each pixel in I(x, y) is processed to complete the output of the target image data after enhancement processing.

[0034] Furthermore, a partitioning unit and a focusing unit are connected to the lower level of the camera module through wireless network interaction. A storage module and a segmentation module are connected to the camera module through wireless network interaction. An identification unit is connected to the inside of the segmentation module through wireless network interaction. The segmentation module is connected to a configuration module, a fusion module, and an enhancement module through wireless network interaction. A selection unit and a merging unit are connected to the lower level of the configuration module and the upper level of the fusion module through wireless network interaction.

[0035] In a second aspect, an image processing and fusion method includes the following steps:

[0036] Step 1: Shoot target image data and store the target image data.

[0037] Step 11: Set the shooting logic stage of the target image data, the marking process of the target image data, and the storage logic.

[0038] Step 2: Obtain the target image data and perform segmentation processing on the target image data.

[0039] Step 3: Configure layers for each sub-target image data obtained by the segmentation processing.

[0040] Step 4: Perform image fusion processing on the sub-target image data based on the configured layers to obtain a set of complete target image data.

[0041] Step 41: Set and apply the fusion processing logic of the target image data.

[0042] Step 5: Obtain the complete target image data after the fusion processing and perform enhancement processing on the complete target image data.

[0043] Step 6: Output the final target image data.

[0044] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects:

[0045] The present invention provides an image processing and fusion system. During the operation of the system, through the focusing control in the target image data shooting stage, a number of groups of target image data at the same viewing angle are continuously collected. Further, based on the segmentation and sufficiency of multiple groups of target image data, conditions are provided for the fusion processing of the target image data. Thus, the target image data is fused according to a specified logic, and finally the output of the fused image is realized. The target image data output in this way has higher image quality, more obvious detail features, and higher clarity. Description of the Drawings

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0047] Figure 1 It is a schematic structural diagram of an image processing fusion system;

[0048] Figure 2 It is a schematic flow diagram of an image processing fusion method. Specific embodiments

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0050] The following further describes the present invention with reference to embodiments.

[0051] Embodiment 1:

[0052] An image processing fusion system according to this embodiment, as Figure 1 shown, includes:

[0053] A camera module for capturing target image data:

[0054] There is a sub-module below the camera module, including:

[0055] A partitioning unit for partitioning the shooting area when the camera module captures target image data;

[0056] A focusing unit for receiving the shooting areas partitioned by the partitioning unit and performing focusing processing on each partitioned shooting area;

[0057] Among them, the number of shooting areas when the camera module captures target image data partitioned by the partitioning unit is user-defined by the system end-user, and it obeys that the size and shape of each group of partitioned areas are the same, and the total number of partitioned areas is not less than four groups. It also obeys that the higher the image accuracy requirement, the more the total number of partitioned areas, and vice versa, the fewer the total number of partitioned areas. When the focusing unit performs focusing processing on the partitioned shooting areas, it takes the center of the partitioned shooting area as the focusing position to perform the focusing processing, and after each focusing operation is completed, the camera module performs a shooting of the target image data;

[0058] A storage module, which is used to receive the target image data captured by the camera module and store the target image data.

[0059] A segmentation module, which is used to obtain the target image data stored in the storage module, segment the target image data, and obtain a set of sub-target image data from each set of target image data.

[0060] The segmentation module is internally provided with sub-modules, including:

[0061] An identification unit, which is used to receive the target image data obtained by the segmentation module, identify the focusing position corresponding to the label of the target image data, and use the boundary of the shooting area where the focusing position is located as the segmentation path for the segmentation module to run and segment the target image data.

[0062] Among them, the segmentation module and the identification unit run continuously, obtain a set of sub-target image data from each set of target image data, and store all the segmented sub-target image data.

[0063] A configuration module, which is used to receive the sub-target image data segmented in the segmentation module and configure a layer for each sub-target image data.

[0064] The sub-modules are provided below the configuration module and above the fusion module, including:

[0065] A selection unit, which is used to select the sub-target image data with the layer configuration completed.

[0066] A merging unit, which is used to obtain the sub-target image data with the fusion completed in the fusion module and merge the corresponding layers of the sub-target image data with the fusion completed.

[0067] Among them, the sub-target image data selected by the selection unit for the first run is: two sets of sub-target image data adjacent to the shooting area divided in the target image data. The sub-target image data selected by the selection unit for subsequent runs is: the image data obtained by the fusion module in the previous run and a set of sub-target image data adjacent to the image data relative to the shooting area divided in the target image data, and so on, until all sub-target image data are selected by the selection unit once.

[0068] A fusion module, which is used to receive the sub-target image data with the layer configuration completed and perform a fusion process on the sub-target image data on the layer.

[0069] An enhancement module, which is used to receive the target image data output after the fusion module performs a fusion process on the sub-target image data on the layer, perform an enhancement process on the target image data, and output it.

[0070] The fusion processing logic for the sub-target image data in the fusion module is expressed as:

[0071]

[0072] In the formula: R fused , G fused , B fused are the pixel values of the R, G, and B channels of the fusion boundary pixels of two sets of sub-target image data for which fusion processing is performed; f(x) is the fusion function; R a (x, y), G a (x, y), B a (x, y) are the pixel values of the R, G, and B channels of the fusion boundary pixel (x, y) on the sub-target image data a; R b (x′, y′), G b (x′, y′), B b (x′, y′) are the pixel values of the R, G, and B channels of the fusion boundary pixel (x′, y′) on the sub-target image data b;

[0073] Among them, the fusion function f(x) takes values of 1, 0, or x < w a , then f(x) = 1, x ≥ w a , and x < w a +w b , then x ≥ w a +w b , then f(x) = 0, x is the length of the fusion position; w a , w b are the widths of the sub-target image data a and the sub-target image data b. Among them, in this embodiment, when taking the fusion of the sub-target image data a and the sub-target image data b as an example, R fused , G fused , B fused are respectively expressed as the pixel values of the fusion boundary pixels (x, y) and (x′, y′). Based on the above formula, the fusion boundary pixels of all two sets of sub-target image data for which fusion processing is performed are processed to complete the fusion of the connection boundary of the sub-target image data;

[0074] The further enhancement processing logic for the target image data after the fusion processing in the enhancement module is expressed as:

[0075] I(x, y)′ = a × (I(x, y) - I min ) + b;

[0076] In the formula: I(x, y)′ is the pixel value of the target image data after the enhancement processing; a and b are adjustment parameters; I(x, y) is the pixel value of the target image data after the fusion processing; Imin is the minimum pixel value of I(x, y);

[0077] where the adjustment parameters a and b are user-defined by the system user or follow Based on the above formula, each pixel in I(x, y) is processed to complete the output of the target image data after enhancement processing;

[0078] The lower level of the camera module is connected with a division unit and a focusing unit through wireless network interaction. The camera module is connected with a storage module and a segmentation module through wireless network interaction. Inside the segmentation module, an identification unit is connected through wireless network interaction. The segmentation module is connected with a configuration module, a fusion module and an enhancement module through wireless network interaction. The lower level of the configuration module and the upper level of the fusion module are connected with a selection unit and a merging unit through wireless network interaction.

[0079] In this embodiment, the camera module runs to capture target image data. The division unit synchronously divides the shooting area when the camera module captures the target image data. The focusing unit receives in real time the shooting areas divided in the division unit and performs focusing processing on each divided shooting area. The storage module simultaneously receives the target image data captured by the camera module and stores the target image data. The segmentation module runs later to obtain the target image data stored in the storage module and segments the target image data to obtain a set of sub-target image data in each set of target image data. The identification unit synchronously receives the target image data obtained by the segmentation module, identifies the focusing position corresponding to the label of the target image data, and takes the boundary of the shooting area where the focusing position is located as the segmentation path for the segmentation module to run and segment the target image data. The configuration module further receives the sub-target image data segmented in the segmentation module and configures a layer for each sub-target image data. The selection unit synchronously selects the sub-target image data for which the layer configuration is completed. The merging unit receives in real time the sub-target image data that has been fused in the fusion module and merges the corresponding layers of the sub-target image data that has been fused. Finally, the fusion module receives the sub-target image data for which the layer configuration is completed and performs fusion processing on the sub-target image data on the layer. The enhancement module receives the target image data output after the fusion module performs fusion processing on the sub-target image data on the layer, and performs enhancement processing and output on the target image data.

[0080] Through the system operation in the above embodiment, the target image data captured by the camera is processed in a fusion manner to improve the image quality, and the detail features and image quality of the image are retained to a large extent.

[0081] Embodiment 2:

[0082] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to Figure 1 to further specifically describe an image processing fusion system in Embodiment 1:

[0083] After receiving the target image data, before storing the target image data, the storage module synchronously numbers the target image data, further binds the focus position used during the shooting of the target image data to the mark of the target image data, and then performs the storage operation of the target image data;

[0084] Among them, the focus position used during the shooting of the target image data is expressed as M·N. M represents the horizontal position of the shooting area where focusing is performed during the shooting of the target image data, and N represents the vertical position of the shooting area where focusing is performed during the shooting of the target image data.

[0085] Through the above settings, the focus logic of the target image data is further defined, providing further operational logic support for the system operation in Embodiment 1.

[0086] Such as Figure 1 As shown, the layer size of the sub-target image data configured in the configuration module is equal to the size of the entire icon image data and has the same shape. When the sub-target image data is placed in the configured layer, it is placed at the corresponding position in the layer relative to the target image data.

[0087] Through the above settings, the storage and logic of the layer configured for the sub-target image data are further defined, providing a prerequisite for the further fusion processing of the sub-target image data.

[0088] Embodiment 3:

[0089] At the specific implementation level, based on Embodiment 1, this embodiment further specifically describes a kind of image processing and fusion system in Embodiment 1 with reference to Figure 2 For a further specific description:

[0090] An image processing and fusion method includes the following steps:

[0091] Step 1: Shoot the target image data and store the target image data;

[0092] Step 11: The shooting logic setting stage of the target image data, the marking processing of the target image data, and the setting of the storage logic;

[0093] Step 2: Obtain the target image data and perform segmentation processing on the target image data;

[0094] Step 3: Configure a layer for each sub-target image data obtained by the segmentation processing;

[0095] Step 4: Perform image fusion processing on the sub-target image data based on the configured layer to obtain a set of complete target image data;

[0096] Step 41: Setting and application of the fusion processing logic for target image data;

[0097] Step 5: Obtain the complete target image data after fusion processing, and perform enhancement processing on the complete target image data;

[0098] Step 6: Output of the final target image data.

[0099] In summary, during the operation of the system in the above embodiments, through the focus control in the target image data shooting stage, a number of groups of target image data at the same viewing angle are continuously collected. Further, based on the segmentation and supplementation of multiple groups of target image data, conditions are provided for the fusion processing of target image data. Thus, the target image data is fused processed according to the specified logic, and finally the output of the fused image is realized. The target image data output in this way has higher image quality, more obvious detail features and clarity.

[0100] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An image processing fusion system, characterized in that: include: Camera module, used to capture target image data: A storage module is used to receive target image data captured by the camera module and store the target image data; A segmentation module is used to obtain the target image data stored in the storage module, segment the target image data, and obtain a group of sub-target image data from each group of target image data; A configuration module, used for receiving the sub-target image data obtained by segmentation in the segmentation module, and configuring a layer for each sub-target image data; A fusion module is used to receive sub-target image data that has completed layer configuration and perform fusion processing on the sub-target image data on the layer; The enhancement module is used to receive the target image data output after the fusion module performs fusion processing on the sub-target image data on the layer, and perform enhancement processing and output on it.

2. The image processing fusion system according to claim 1, characterized in that: The camera module is provided with submodules at the lower level, including: A division unit, used to divide a shooting area when the camera module shoots target image data; A focusing unit, used for receiving the shooting areas divided by the dividing unit, and performing focusing processing on each divided shooting area; Among them, the number of shooting areas when the camera module divided in the division unit shoots the target image data is customized by the system-side user, and is subject to the fact that the size and shape of each group of divided areas are consistent, and the total number of divided areas is not less than four groups. It is also subject to the fact that the higher the image accuracy requirement, the more the total number of divided areas, and vice versa, the fewer the total number of divided areas. When the focusing unit focuses on the divided shooting areas, the center of the divided shooting areas is used as the focus position to perform the focusing process, and after each focusing operation is completed, the camera module executes the shooting of the target image data once.

3. The image processing fusion system according to claim 2, characterized in that: After receiving the target image data, the storage module synchronously marks the target image data before storing the target image data, further binds the focus position used when shooting the target image data with the mark of the target image data, and then performs a storage operation of the target image data; Among them, the focus position used when shooting the target image data is expressed as M·N, M represents the horizontal position of the divided shooting area where the focus is performed when shooting the target image data, and N represents the vertical position of the divided shooting area where the focus is performed when shooting the target image data.

4. The image processing fusion system according to claim 3, characterized in that: The segmentation module is internally provided with submodules, including: The recognition unit is used to receive the target image data acquired by the segmentation module, identify the focus position corresponding to the target image data mark, and use the boundary of the shooting area divided by the focus position as a segmentation path for the segmentation module to run the segmentation of the target image data; The segmentation module and the recognition unit operate continuously, segment each group of target image data to obtain a group of sub-target image data, and store all the segmented sub-target image data.

5. The image processing fusion system according to claim 1, characterized in that: The size of the layer configured in the sub-target image data in the configuration module is equal to the size and shape of the entire icon image data. When the sub-target image data configuration layer is placed in the layer, it is placed in the corresponding position of the sub-target image data in the layer relative to the target image data.

6. The image processing fusion system according to claim 2, characterized in that: The configuration module lower level and the fusion module upper level are provided with submodules, including: A selection unit, used for selecting sub-target image data for completing layer configuration; A merging unit, used for acquiring the sub-target image data that has been fused in the fusion module, and merging the corresponding layers of the sub-target image data that has been fused; Among them, the sub-target image data selected by the selection unit in the first operation are: two groups of sub-target image data adjacent to the shooting areas divided in the target image data, and the sub-target image data selected by the selection unit in the subsequent operation are: the image data obtained by the fusion module in the last operation and a group of sub-target image data adjacent to the shooting areas divided in the target image data, and so on, until all the sub-target image data are selected once by the selection unit.

7. The image processing fusion system according to claim 1, characterized in that: The fusion processing logic for the sub-target image data in the fusion module is expressed as follows: Where: R fused , G fused , B fused are the R, G, and B three-channel pixel values ​​of the fused boundary pixels of the two groups of sub-target image data to be fused; f(x) is the fusion function; R a (x,y),G a (x,y),B a (x, y) is the R, G, and B three-channel pixel value of the fused boundary pixel (x, y) on the sub-target image data a; R b (x′,y′),G b (x′,y′),B b (x′, y′) is the R, G, and B three-channel pixel value of the fused boundary pixel (x′, y′) on the sub-target image data b; The fusion function f(x) takes the value of 1, 0 or x<w a , then f(x)=1, x≥w a , and x<w a +w b ,but x≥w a +w b , then f(x)=0, x is the length of the fusion position; w a 、w b is the width of sub-target image data a and sub-target image data b. Based on the above formula, all fusion boundary pixels of two groups of sub-target image data that perform fusion processing are processed to complete the fusion of the boundaries where the sub-target image data meet.

8. The image processing fusion system according to claim 1, characterized in that: The further enhancement processing logic of the target image data that has completed the fusion processing in the enhancement module is expressed as follows: I(x,y)′=a×(I(x,y)-I min )+b; Where: I(x,y)′ is the pixel value of the target image data after enhancement processing; a, b are adjustment parameters; I(x, y) is the pixel value of the target image data after fusion processing; I min is the minimum pixel value of I(x,y); Among them, adjustment parameters; a, b are defined by the system end user, or obey b=0, and each pixel in I(x, y) is processed based on the above formula to complete the output of the enhanced target image data.

9. The image processing fusion system according to claim 1, characterized in that: The camera module is interactively connected to a division unit and a focus unit at a lower level via a wireless network, the camera module is interactively connected to a storage module and a segmentation module via a wireless network, the segmentation module is interactively connected to an identification unit via a wireless network, the segmentation module is interactively connected to a configuration module, a fusion module and an enhancement module via a wireless network, and the configuration module is interactively connected to a lower level and the fusion module is interactively connected to a selection unit and a merging unit via a wireless network.

10. An image processing fusion method, the method being an implementation method of an image processing fusion system as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: photograph target image data and store the target image data; Step 11: setting the target image data shooting logic, marking the target image data and setting the storage logic; Step 2: Obtain target image data and perform segmentation processing on the target image data; Step 3: configure a layer for each sub-target image data obtained by segmentation; Step 4: Perform image fusion processing based on the sub-target image data of the configuration layer to obtain a set of complete target image data; Step 41: Setting and applying target image data fusion processing logic; Step 5: Acquire the complete target image data after the fusion processing, and perform enhancement processing on the complete target image data; Step 6: Output of final target image data.

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