CN112488939A - Image processing method, terminal device and storage medium - Google Patents
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Abstract
The invention discloses an image processing method, which comprises the following steps: acquiring spatial characteristics and spectral information of an image to be processed and polarization state information of each spectral band; identifying a target and a background in the image to be processed according to the spatial characteristics and the polarization state information; reconstructing the image to be processed based on the spatial features, the spectral information and the polarization state information to enhance a contrast between the target and the background. The invention also discloses a terminal device and a computer readable storage medium, which achieve the effect of improving the accuracy of the target identification technology for identifying the disguised target.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image processing method, a terminal device, and a computer-readable storage medium.
Background
With the development of the camouflage technology, the recognizable information of battlefield camouflage targets (such as camouflage tanks, camouflage chariot and tactical squadrons) is less and less, but the quick recognition of the targets is particularly important under actual combat conditions (especially complex battlefield environments such as smoke, fog, dust and haze). There are many methods for identifying objects in a battlefield environment, and conventional object identification techniques include: radar detection, infrared image recognition, visible light image, spectral imaging recognition, and the like. However, the target identification technology based on radar detection needs to emit electromagnetic waves to a target, is easily influenced by a complex electromagnetic environment of a battlefield, and has the possibility of being discovered by an enemy; although the infrared image recognition technology has strong target monitoring capability, the application of the infrared stealth technology is restricted to a certain extent along with the rapid development of the infrared stealth technology; the visible light image has the identification capability of a battlefield environment fine morphology image, but has no capability of detecting a disguised target; the spectrum imaging means is used for detecting, and certain false alarm rate can occur when a complex target is detected, wherein the phenomena of 'same-spectrum foreign matter' and 'same-object different-spectrum' possibly occur in the target subjected to spectrum camouflage. For the reasons, the existing target identification technology has the defect of low accuracy of the identification result of the disguised target.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an image processing method, a terminal device and a computer readable storage medium, aiming at achieving the effect of improving the accuracy of identifying a disguised target by a target identification technology.
In order to achieve the above object, the present invention provides an image processing method including the steps of:
acquiring spatial characteristics and spectral information of an image to be processed and polarization state information of each spectral band;
identifying a target and a background in the image to be processed according to the spatial characteristics and the polarization state information;
reconstructing the image to be processed based on the spatial features, the spectral information and the polarization state information to enhance a contrast between the target and the background.
Optionally, the step of identifying the target and the background in the image to be processed according to the spatial feature and the polarization state information includes:
determining a polarization image corresponding to the image to be processed based on the polarization state information and the spatial features;
and identifying the target and the background in the image to be processed according to the polarization image.
Optionally, before the step of identifying the target and the background in the image to be processed according to the polarized image, the method further includes:
obtaining the polarization properties corresponding to the target and the background;
identifying the target and the background in the image to be processed according to the polarization image and the polarization attribute.
Optionally, the step of acquiring polarization properties corresponding to the target and the background includes:
acquiring the matching degree between the image to be processed and a pre-stored scene;
and determining the polarization attribute corresponding to the target and the background according to the polarization attribute associated with the pre-stored scene when the matching degree between the target and the image to be processed is greater than a preset threshold value.
Optionally, the step of determining the polarization attribute corresponding to the target and the background according to the polarization attribute associated with the pre-stored scene, where the matching degree with the image to be processed is greater than a preset threshold, includes:
when a plurality of pre-stored scenes exist, wherein the matching degree between the pre-stored scenes and the images to be processed is greater than a preset threshold value, and the polarization attributes corresponding to the target and the background are determined according to the polarization attributes associated with the pre-stored scene, in the pre-stored scenes, wherein the matching degree between the pre-stored scenes and the images to be processed is greater than the preset threshold value, and the pre-stored scene is the scene with the maximum matching degree between the pre-stored scenes and the images to be processed.
Optionally, after the step of obtaining the matching degree between the image to be processed and a pre-stored scene, the method further includes:
and when the matching degree between the image to be processed and the pre-stored scene is not greater than a preset threshold value, outputting prompt information of a scene without matching.
Optionally, after the step of reconstructing the image to be processed based on the spatial feature, the spectral information, and the polarization state information to enhance the contrast between the target and the background, the method further includes:
and outputting the reconstructed image.
Optionally, the target is displayed in a mark in an output interface of the reconstructed image.
Furthermore, to achieve the above object, the present invention further provides a terminal device, which includes a memory, a processor, and an image processing program stored on the memory and executable on the processor, wherein the image processing program, when executed by the processor, implements the steps of the image processing method as described above.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon an image processing program which, when executed by a processor, implements the steps of the image processing method as described above.
According to the image processing method, the terminal device and the computer readable storage medium provided by the embodiment of the invention, the spatial feature, the spectral information and the polarization state information of each spectral band of the image to be processed are firstly obtained, then the target and the background in the image to be processed are identified according to the spatial feature and the polarization state information, and the image to be processed is reconstructed based on the spatial feature, the spectral information and the polarization state information so as to enhance the contrast between the target and the background. In the shooting process, the polarization characteristic in the shooting result is less influenced by objective factors, so that after the image is reconstructed based on the polarization state information of the image to be processed, the contrast between the target and the background can be enhanced to highlight the target, and the effect of improving the accuracy of the target identification technology in identifying the camouflage target is achieved.
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Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an image processing method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating an image processing method according to another embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
With the development of the camouflage technology, the recognizable information of battlefield camouflage targets (such as camouflage tanks, camouflage chariot and tactical squadrons) is less and less, but the quick recognition of the targets is particularly important under actual combat conditions (especially complex battlefield environments such as smoke, fog, dust and haze). There are many methods for identifying objects in a battlefield environment, and conventional object identification techniques include: radar detection, infrared image recognition, visible light image, spectral imaging recognition, and the like. However, the target identification technology based on radar detection needs to emit electromagnetic waves to a target, is easily influenced by a complex electromagnetic environment of a battlefield, and has the possibility of being discovered by an enemy; although the infrared image recognition technology has strong target monitoring capability, the application of the infrared stealth technology is restricted to a certain extent along with the rapid development of the infrared stealth technology; the visible light image has the identification capability of a battlefield environment fine morphology image, but has no capability of detecting a disguised target; the spectrum imaging means is used for detecting, and certain false alarm rate can occur when a complex target is detected, wherein the phenomena of 'same-spectrum foreign matter' and 'same-object different-spectrum' possibly occur in the target subjected to spectrum camouflage. For the reasons, the existing target identification technology has the defect of low accuracy of the identification result of the disguised target.
To solve the foregoing drawbacks, an embodiment of the present invention provides an image processing method, and the main solution thereof includes:
acquiring spatial characteristics and spectral information of an image to be processed and polarization state information of each spectral band;
identifying a target and a background in the image to be processed according to the spatial characteristics and the polarization state information;
reconstructing the image to be processed based on the spatial features, the spectral information and the polarization state information to enhance a contrast between the target and the background.
In the shooting process, the polarization characteristic in the shooting result is less influenced by objective factors, so that after the image is reconstructed based on the polarization state information of the image to be processed, the contrast between the target and the background can be enhanced to highlight the target, and the effect of improving the accuracy of the target identification technology in identifying the camouflage target is achieved.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a terminal device such as a PC.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), a mouse, etc., and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an image processing program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the processor 1001 may be configured to call an image processing program stored in the memory 1005 and perform the following operations:
acquiring spatial characteristics and spectral information of an image to be processed and polarization state information of each spectral band;
identifying a target and a background in the image to be processed according to the spatial characteristics and the polarization state information;
reconstructing the image to be processed based on the spatial features, the spectral information and the polarization state information to enhance a contrast between the target and the background.
Further, the processor 1001 may call an image processing program stored in the memory 1005, and also perform the following operations:
determining a polarization image corresponding to the image to be processed based on the polarization state information and the spatial features;
and identifying the target and the background in the image to be processed according to the polarization image.
Further, the processor 1001 may call an image processing program stored in the memory 1005, and also perform the following operations:
obtaining the polarization properties corresponding to the target and the background;
identifying the target and the background in the image to be processed according to the polarization image and the polarization attribute.
Further, the processor 1001 may call an image processing program stored in the memory 1005, and also perform the following operations:
acquiring the matching degree between the image to be processed and a pre-stored scene;
and determining the polarization attribute corresponding to the target and the background according to the polarization attribute associated with the pre-stored scene when the matching degree between the target and the image to be processed is greater than a preset threshold value.
Further, the processor 1001 may call an image processing program stored in the memory 1005, and also perform the following operations:
when a plurality of pre-stored scenes exist, wherein the matching degree between the pre-stored scenes and the images to be processed is greater than a preset threshold value, and the polarization attributes corresponding to the target and the background are determined according to the polarization attributes associated with the pre-stored scene, in the pre-stored scenes, wherein the matching degree between the pre-stored scenes and the images to be processed is greater than the preset threshold value, and the pre-stored scene is the scene with the maximum matching degree between the pre-stored scenes and the images to be processed.
Further, the processor 1001 may call an image processing program stored in the memory 1005, and also perform the following operations:
and when the matching degree between the image to be processed and the pre-stored scene is not greater than a preset threshold value, outputting prompt information of a scene without matching.
Further, the processor 1001 may call an image processing program stored in the memory 1005, and also perform the following operations:
and outputting the reconstructed image.
Referring to fig. 2, in an embodiment of the image processing method of the present invention, the image processing method includes the following steps:
step S10, acquiring the spatial characteristics and the spectral information of the image to be processed and the polarization state information of each spectral band;
step S20, identifying the target and the background in the image to be processed according to the polarization state information;
step S30, reconstructing the image to be processed based on the spatial features, the spectral information and the polarization state information to enhance the contrast between the target and the background.
In the present embodiment, the image to be processed may be image data taken by a conventional light photographing device such as a camera, a video camera, or the like. After the to-be-processed image is acquired, the two-dimensional spatial feature (i.e., the spatial feature), the spectral information of each dimension in the image, and the polarization state information of each spectral band of the to-be-processed image may be acquired. Wherein the polarization state information may include polarization degree and polarization angle information of the spectral curve.
Further, the target and the background in the image to be processed are identified according to the spatial features and the polarization state information.
Specifically, the spatial feature, the spectral information, and the polarization state information of each spectral band of the image to be processed are obtained, and the polarization image corresponding to the image to be processed may be determined based on the polarization state information and the spatial feature. Determining each position in the image according to the spatial feature, then determining a polarization image corresponding to the image to be processed by combining polarization state information corresponding to each position, and then identifying the target and the background in the image to be processed according to the polarization image.
In an implementation scheme, polarization attributes corresponding to the target and the background may be obtained first, and then the target and the background in the image to be processed are identified according to the polarization image and the polarization attributes. The principle is that the main factor influencing the polarization characteristic is the roughness of the surface of an object, ground military objects such as artificial objects such as vehicles and natural backgrounds such as grasslands have large difference on the surface characteristic, the surface of the artificial objects such as vehicles is relatively smooth and regular, the directivity of reflection and scattering of incident light is strong, the dispersion is weak, the polarization degree of the ground military objects is relatively large, the surface orientations of the natural backgrounds such as grasslands are different, the incident light enters an optical system after being reflected and scattered for many times, the dispersion is strong, the polarization characteristic of the object is weakened, and the polarization degree of the natural background is small, so that the object attribute information is combined on the basis of a polarization image, the spectral responses of the objects with different attributes are different, and the spectrum of the object is disguised aiming at the spectrum of 'foreign matter is the same spectrum', and the spectrum curve table shows the difference of the polarization degree and the polarization angle information, accurate target attribute discrimination can be performed.
It is understood that in different application scenarios, the polarization property of the target and the polarization property of the background can be defined in combination with the specific scenario actual situation. Thereby making it possible to identify the object and the background in the image to be processed from the polarization image and the polarization property in each scene.
As an optional implementation, when obtaining the polarization attributes corresponding to the target and the background, a matching degree between the image to be processed and a pre-stored scene may be obtained first, and then the polarization attributes corresponding to the target and the background are determined according to the polarization attributes associated with the pre-stored scene where the matching degree between the image to be processed and the pre-stored scene is greater than a preset threshold.
Specifically, a plurality of different scenes can be customized in advance, and then a scene matching model is trained by taking a large number of pictures as samples and machine learning. After a new picture to be processed is received, the matching degree between the received picture to be processed and each pre-stored scene can be obtained based on the scene matching model. The scenes can include a camouflage identification scene, an underwater shooting scene, a fog shooting scene and the like. After the matching degree between the image to be processed and each pre-stored scene is obtained, the polarization attribute corresponding to the target and the background can be determined according to the polarization attribute associated with the pre-stored scene, wherein the matching degree between the image to be processed and each pre-stored scene is greater than a preset threshold value. Namely, the matching degree between the target image and the image to be processed is greater than a preset threshold value, and the polarization attribute associated with the pre-stored scene is used as the polarization attribute corresponding to the target and the background. Wherein, the polarization properties corresponding to the target and the background are different.
Optionally, when there are a plurality of pre-stored scenes in which the matching degree with the image to be processed is greater than a preset threshold, determining the polarization attribute corresponding to the target and the background according to the polarization attribute associated with the preset scene in the pre-stored scenes in which the matching degree with the image to be processed is greater than the preset threshold and the matching degree with the image to be processed is the greatest.
Optionally, when the matching degree with the image to be processed is not greater than a preset threshold value and the pre-stored scene does not exist, outputting prompt information of a scene without matching.
Further, after the target and the background in the image to be processed are identified according to the spatial feature and the polarization state information, the image to be processed may be reconstructed based on the spatial feature, the spectral information, and the polarization state information, so as to enhance the contrast between the target and the background.
The space position and the geometric characteristics of the target are combined, so that the polarization image is effectively fused into the map information, the contrast ratio of the target and the background can be effectively enhanced by the fused image, and the target identification effect is improved. The imaging is not ideal under the environment of smoke, fog, dust, haze and the like mainly due to scattering of medium particles, and the influence of the scattering of the particles on the imaging can be obviously reduced due to the polarization characteristic. Experiments show that polarization imaging can improve the contrast of images in scattering media, and particularly has better effect after certain processing is carried out on full Stokes polarization images.
In the technical scheme disclosed in this embodiment, spatial features, spectral information, and polarization state information of each spectral band of an image to be processed are obtained, then a target and a background in the image to be processed are identified according to the spatial features and the polarization state information, and the image to be processed is reconstructed based on the spatial features, the spectral information, and the polarization state information, so as to enhance a contrast between the target and the background. In the shooting process, the polarization characteristic in the shooting result is less influenced by objective factors, so that after the image is reconstructed based on the polarization state information of the image to be processed, the contrast between the target and the background can be enhanced to highlight the target, and the effect of improving the accuracy of the target identification technology in identifying the camouflage target is achieved.
Referring to fig. 3, based on the foregoing embodiment, in another embodiment, after the step S30, the method further includes:
and step S40, outputting the reconstructed image.
In this embodiment, after obtaining the reconstructed image, the reconstructed image may be directly displayed, or the reconstructed image may be directly transmitted to another terminal.
In an application scenario, the camera may record a video of a space, and then process the video data frame by frame through the image processing method. And synchronously displaying each processed frame of picture. Or the processed picture frames are transmitted to the target terminal.
Optionally, the target may be displayed in a mark in an output interface of the reconstructed image. Namely, the display position of the target is displayed to prompt color, and the display area of the target is selected through a regular graphic frame or the area where the target is located is displayed in an enlarged mode.
In addition, an embodiment of the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and an image processing program stored on the memory and executable on the processor, and the image processing program, when executed by the processor, implements the steps of the image processing method according to the above embodiments.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, on which an image processing program is stored, and the image processing program, when executed by a processor, implements the steps of the image processing method according to the above embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for causing a terminal device to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An image processing method, characterized by comprising the steps of:
acquiring spatial characteristics and spectral information of an image to be processed and polarization state information of each spectral band;
identifying a target and a background in the image to be processed according to the spatial characteristics and the polarization state information;
reconstructing the image to be processed based on the spatial features, the spectral information and the polarization state information to enhance a contrast between the target and the background.
2. The image processing method of claim 1, wherein the step of identifying the object and the background in the image to be processed according to the spatial feature and the polarization state information comprises:
determining a polarization image corresponding to the image to be processed based on the polarization state information and the spatial features;
and identifying the target and the background in the image to be processed according to the polarization image.
3. The image processing method of claim 2, wherein the step of identifying the object and the background in the image to be processed from the polarized image is preceded by:
obtaining the polarization properties corresponding to the target and the background;
identifying the target and the background in the image to be processed according to the polarization image and the polarization attribute.
4. The image processing method of claim 3, wherein the step of obtaining polarization properties corresponding to the target and the background comprises:
acquiring the matching degree between the image to be processed and a pre-stored scene;
and determining the polarization attribute corresponding to the target and the background according to the polarization attribute associated with the pre-stored scene when the matching degree between the target and the image to be processed is greater than a preset threshold value.
5. The image processing method according to claim 4, wherein the step of determining the polarization properties corresponding to the target and the background according to the polarization properties associated with the pre-stored scene, in which the matching degree with the image to be processed is greater than a preset threshold, comprises:
when a plurality of pre-stored scenes exist, wherein the matching degree between the pre-stored scenes and the images to be processed is greater than a preset threshold value, and the polarization attributes corresponding to the target and the background are determined according to the polarization attributes associated with the pre-stored scene, in the pre-stored scenes, wherein the matching degree between the pre-stored scenes and the images to be processed is greater than the preset threshold value, and the pre-stored scene is the scene with the maximum matching degree between the pre-stored scenes and the images to be processed.
6. The image processing method according to claim 4, wherein the step of obtaining the matching degree between the image to be processed and the pre-stored scene further comprises:
and when the matching degree between the image to be processed and the pre-stored scene is not greater than a preset threshold value, outputting prompt information of a scene without matching.
7. The image processing method of claim 1, wherein the step of reconstructing the image to be processed based on the spatial features, the spectral information, and the polarization state information to enhance the contrast between the object and the background further comprises:
and outputting the reconstructed image.
8. The image processing method according to claim 1, wherein the target is displayed in a mark in an output interface of the reconstructed image.
9. A terminal device, characterized in that the terminal device comprises: memory, a processor and an image processing program stored on the memory and executable on the processor, the image processing program, when executed by the processor, implementing the steps of the image processing method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that an image processing program is stored thereon, which when executed by a processor implements the steps of the image processing method according to any one of claims 1 to 8.
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