CN115205246A - Converter valve corona discharge ultraviolet image feature extraction method and device - Google Patents
Converter valve corona discharge ultraviolet image feature extraction method and device Download PDFInfo
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Abstract
The application relates to a converter valve corona discharge ultraviolet image feature extraction method, a converter valve corona discharge ultraviolet image feature extraction device, a computer device, a storage medium and a computer program product. The method comprises the following steps: acquiring an initial ultraviolet detection image of the corona discharge of the converter valve; determining the type of the light spot according to the initial ultraviolet detection image; segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image; and performing feature extraction on the light spot image to obtain light spot features. According to the whole scheme, the light spot type in the initial ultraviolet detection image is judged, and the initial ultraviolet detection image is segmented by adopting a corresponding image segmentation method aiming at different light spot types, so that an accurate light spot image corresponding to the light spot type is obtained, and then the characteristic extraction is carried out according to the light spot image, so that the obtained light spot characteristic is more accurate.
Description
Technical Field
The present application relates to the field of converter valve detection technologies, and in particular, to a converter valve corona discharge ultraviolet image feature extraction method, apparatus, computer device, storage medium, and computer program product.
Background
The ultra-high voltage and extra-high voltage direct current transmission has the technical advantages of long distance, large capacity and low loss. In a high-voltage direct-current system, a converter valve is a key device for realizing alternating-current and direct-current electric energy conversion, and the stable operation of the converter valve plays a decisive role in the safety of the whole electric power system. Corona discharge refers to a local self-sustaining discharge phenomenon occurring on the surface of a charged body in a gas medium, and often occurs in an area where the field intensity is concentrated in a very non-uniform electric field. For high voltage electrical equipment, although short term corona discharge generally has no serious consequences, its long term cumulative effect cannot be neglected.
A series of phenomena such as light and heat and the like can be generated by partial discharge on the insulating surface of the power transmission and transformation equipment, and the partial discharge of the insulator can be detected in various ways through different phenomena generated by the discharge. The detection methods generally used include pulse current analysis, acoustic detection, infrared detection, ultraviolet detection, and the like. The ultraviolet detection method is a nondestructive detection method, avoids the interference of environmental noise and the like, and is increasingly emphasized.
The power system generally utilizes ultraviolet signals to detect the partial discharge phenomenon of the insulation surface of the on-site operation power transmission and transformation equipment. Although abnormal discharge of equipment can be effectively observed by utilizing ultraviolet detection, the characteristics of the currently obtained ultraviolet image are difficult to quantify, and the extracted characteristics of the ultraviolet image are inaccurate.
Disclosure of Invention
In view of the foregoing, it is necessary to provide an accurate converter valve corona discharge ultraviolet image feature extraction method, apparatus, computer device, computer readable storage medium and computer program product.
In a first aspect, the application provides a converter valve corona discharge ultraviolet image feature extraction method. The method comprises the following steps:
acquiring an initial ultraviolet detection image of the converter valve corona discharge;
determining the type of the light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
In one embodiment, determining the spot type from the initial uv inspection image comprises: extracting a discharge image in the initial ultraviolet detection image; determining the light spot color of the discharge image; and determining the spot type according to the spot color.
In one embodiment, segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image includes: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image; and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold method to obtain a light spot image.
In one embodiment, if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image includes: if the light spot type is a white light spot, performing gray processing on the initial ultraviolet detection image to obtain a gray ultraviolet detection image; and segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
In one embodiment, the performing feature extraction on the spot image to obtain the spot feature includes: extracting the maximum light spot in the light spot image to obtain a target light spot image; and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
In one embodiment, extracting the largest spot in the spot image to obtain the target spot image includes: denoising the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
In a second aspect, the application further provides a converter valve corona discharge ultraviolet image feature extraction device.
The device comprises:
the acquisition module is used for acquiring an initial ultraviolet detection image of the converter valve corona discharge;
the determining module is used for determining the type of the light spot according to the initial ultraviolet detection image;
the segmentation module is used for segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and the extraction module is used for extracting the features of the light spot image to obtain the light spot features.
In one embodiment, the determination module is further configured to extract a discharge image in the initial ultraviolet detection image; determining the light spot color of the discharge image; and determining the type of the light spot according to the color of the light spot.
In one embodiment, the segmentation module is further configured to segment the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image if the light spot type is a white light spot; and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold value method to obtain a light spot image.
In one embodiment, the segmentation module is further configured to perform gray processing on the initial ultraviolet detection image to obtain a grayed ultraviolet detection image if the light spot type is a white light spot; and segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
In one embodiment, the extraction module is further configured to extract a maximum light spot in the light spot image to obtain a target light spot image; and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
In one embodiment, the extraction module is further configured to perform denoising processing on the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring an initial ultraviolet detection image of the corona discharge of the converter valve;
determining the type of the light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring an initial ultraviolet detection image of the corona discharge of the converter valve;
determining the type of the light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
acquiring an initial ultraviolet detection image of the corona discharge of the converter valve;
determining the type of the light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
The method, the device, the computer equipment, the storage medium and the computer program product for extracting the features of the corona discharge ultraviolet image of the converter valve are used for acquiring an initial ultraviolet detection image of the corona discharge of the converter valve; determining the type of the light spot according to the initial ultraviolet detection image; segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image; and performing feature extraction on the light spot image to obtain light spot features. According to the whole scheme, the light spot type in the initial ultraviolet detection image is judged, and the initial ultraviolet detection image is segmented by adopting a corresponding image segmentation method aiming at different light spot types, so that an accurate light spot image corresponding to the light spot type is obtained, and then the characteristic extraction is carried out according to the light spot image, so that the obtained light spot characteristic is more accurate.
Drawings
FIG. 1 is an application environment diagram of an ultraviolet image feature extraction method for converter valve corona discharge in one embodiment;
FIG. 2 is a schematic flow chart of a converter valve corona discharge ultraviolet image feature extraction method in one embodiment;
FIG. 3 is a schematic view of a white spot in one embodiment;
FIG. 4 is a schematic view of a red spot in one embodiment;
FIG. 5 is a schematic illustration of a target spot image in one embodiment;
FIG. 6 is a schematic illustration of a spot profile in one embodiment;
FIG. 7 is a schematic diagram of a converter valve corona discharge ultraviolet image feature extraction process in another embodiment;
FIG. 8 is a block diagram of a converter valve corona discharge ultraviolet image feature extraction device in one embodiment;
FIG. 9 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The converter valve corona discharge ultraviolet image feature extraction method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the acquisition device 102 communicates with the terminal 104 via a network. The collecting device 102 collects an initial ultraviolet detection image of the converter valve corona discharge, the initial ultraviolet detection image is transmitted to the terminal 104, and the terminal 104 obtains the initial ultraviolet detection image of the converter valve corona discharge; determining the type of the light spot according to the initial ultraviolet detection image; segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image; and performing feature extraction on the light spot image to obtain light spot features. The terminal 104 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart car-mounted devices, and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and the like.
In one embodiment, as shown in fig. 2, a converter valve corona discharge ultraviolet image feature extraction method is provided, which is described by taking the method as an example applied to the terminal 104 in fig. 1, and includes the following steps:
The converter valve is core equipment of a direct-current transmission project, expected direct-current voltage is obtained and power control is achieved by sequentially connecting three-phase alternating-current voltage to a direct-current end, and normal operation of the converter valve plays a decisive role in safety of a whole power system. Corona discharge refers to a series of phenomena such as light and heat generated by partial discharge on the insulating surface of a converter valve. The initial ultraviolet detection image is obtained by collecting a converter valve corona discharge image by a collecting device. The acquisition equipment can be solar blind ultraviolet imaging equipment, and the solar blind ultraviolet imaging equipment detects the partial discharge phenomenon of the insulation surface of the converter valve running on site through an ultraviolet signal of 240-280 nm. The converter valve mainly releases ultraviolet light signals of 100nm-400nm in a weak discharge stage at the initial discharge stage, and the ultraviolet pulse method converts the ultraviolet light signals into electric signals by using an ultraviolet photoelectric converter, so that the light pulse signals can be used as characteristic parameters for monitoring the insulation state of the insulator. The latest generation of ultraviolet imaging instrument adopts a dual-channel image fusion technology, and an ultraviolet detection channel only detects ultraviolet light with a wave band of 240-280nm by adopting a special filter, so that the interference of sunlight is avoided, and the discharge phenomenon can be clearly seen in the daytime.
Specifically, the ultraviolet imager collects an initial ultraviolet detection image of partial discharge of the converter valve and uploads the initial ultraviolet detection image to the terminal. And the terminal acquires an initial ultraviolet detection image of the converter valve corona discharge acquired by the ultraviolet imager.
The solar blind ultraviolet imager adopts an ultraviolet detection technology, a solar blind ultraviolet filter technology, an optical technology and a fusion algorithm technology, and can eliminate the interference of a background and detect a weak signal generated by corona under the full sunlight by utilizing a 240-280nm signal of a solar blind ultraviolet band. By fusing ultraviolet and visible spectrum, ultraviolet/visible light double-spectrum imaging can be realized, and the corona position can be vividly, intuitively and accurately positioned. The image and video output of a common solar-blind ultraviolet imager can be divided into two types, one is that the discharge image is displayed in white, as shown in fig. 3, the discharge area in the rectangular frame is displayed in white, and the other is displayed in red, as shown in fig. 4, the discharge area in the rectangular frame is displayed in red.
And step 204, determining the type of the light spot according to the initial ultraviolet detection image.
The light spot type refers to a light spot type corresponding to the light spot characteristics of the discharge area in the initial ultraviolet detection image. The light spot characteristics correspond to the light spot types one by one, and each light spot characteristic corresponds to a unique light spot type.
Specifically, the terminal extracts the spot characteristics of the discharge area in the initial ultraviolet detection image, acquires a corresponding relation table of the locally stored spot characteristics and the spot types, and queries the spot types corresponding to the spot characteristics from the corresponding relation table of the spot characteristics and the spot types to obtain the spot types of the discharge area in the initial ultraviolet detection image.
And step 206, segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image.
The image segmentation algorithm is used for converting the initial ultraviolet detection image into a binary image, and can be different threshold segmentation methods.
Specifically, the terminal obtains a corresponding relation between a locally stored light spot type and an image segmentation algorithm, searches for the image segmentation algorithm corresponding to the light spot type from the corresponding relation between the light spot type and the image segmentation algorithm, converts an initial ultraviolet detection image into a binary image according to the image segmentation algorithm, and extracts a light spot area in the binary image to obtain a light spot image.
And step 208, performing feature extraction on the spot image to obtain spot features.
The spot features refer to outline features of the spots, and the spot features comprise features such as areas and circumferences of the spots.
Specifically, the terminal extracts the edge of the light spot image according to an edge gradient method to obtain a light spot profile, and calculates according to the light spot profile to obtain the characteristics of the light spot such as the area, the perimeter and the like.
In the method for extracting the characteristics of the corona discharge ultraviolet image of the converter valve, an initial ultraviolet detection image of the corona discharge of the converter valve is obtained; determining the type of the light spot according to the initial ultraviolet detection image; segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image; and performing feature extraction on the light spot image to obtain light spot features. According to the whole scheme, the light spot type in the initial ultraviolet detection image is judged, and the initial ultraviolet detection image is segmented by adopting a corresponding image segmentation method aiming at different light spot types, so that an accurate light spot image corresponding to the light spot type is obtained, and then the characteristic extraction is carried out according to the light spot image, so that the obtained light spot characteristic is more accurate.
In an alternative embodiment, determining the spot type from the initial uv inspection image comprises: extracting a discharge image in the initial ultraviolet detection image; determining the light spot color of the discharge image; and determining the spot type according to the spot color.
Wherein the spot colors include white and red, and the spot types include a white spot type and a red spot type. In the present application, the light spot feature extraction of the red light spot and the white light spot is taken as an example for explanation, the feature extraction processes of other color light spot images are similar, and the present application is not limited herein.
Specifically, the ultraviolet imager collects an initial ultraviolet detection video stream of partial discharge of the converter valve and uploads the initial ultraviolet detection video stream to the terminal. The terminal extracts a currently processed initial ultraviolet detection image from the initial ultraviolet detection video stream, extracts a discharge area in the initial ultraviolet detection image according to the difference between the ultraviolet detection image marked by the user and not subjected to corona discharge and the initial ultraviolet detection image (the shooting position of the ultraviolet detection image not subjected to corona discharge is the same as that of the initial ultraviolet detection image), and intercepts the image of the discharge area to obtain a discharge image. And the terminal extracts the color of the discharge image to obtain a light spot color, and inquires the light spot type corresponding to the light spot color from the corresponding relation table of the light spot characteristics and the light spot type to obtain the light spot type of the discharge area in the initial ultraviolet detection image.
In the embodiment, the light spot color is extracted to determine the light spot type, the image segmentation method corresponding to the light spot can be determined according to the light spot type, so that the accurate light spot is extracted, and the accuracy of light spot extraction is improved.
In an optional embodiment, segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain the light spot image includes: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image; and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold value method to obtain a light spot image.
Specifically, if the terminal detects that the light spot type of the initial ultraviolet detection image is a white light spot, a preset gray threshold of a gray threshold method is obtained, and binarization is performed on pixels in the initial ultraviolet detection image according to the preset gray threshold. Further, according to a preset gray threshold value of a gray threshold value method, setting a pixel higher than the preset gray threshold value as a first pixel value, and setting a pixel lower than the preset gray threshold value as a second pixel value, so as to obtain a binary light spot image. The first pixel value is 0 or 1, the first pixel value is different from the second pixel value, and if the first pixel value is 1, the second pixel value is 0; or the first pixel value is 0, the second pixel value is 1.
And if the terminal detects that the light spot type of the initial ultraviolet detection image is a red light spot, acquiring a preset threshold range of a three-channel threshold method, and binarizing pixels in the initial ultraviolet detection image according to the preset threshold range. Further, the preset threshold range is a three-channel coordinate range of the pixels, if the pixel coordinate formed by the single-channel RGB value of each pixel in the initial ultraviolet detection image is within the preset threshold range, the pixel is set as a first pixel value, and if the pixel coordinate formed by the single-channel RGB value of each pixel in the initial ultraviolet detection image is not within the preset threshold range, the pixel value is set as a second pixel value, so that the conversion of the initial ultraviolet image from the color image to the binary image is realized. If the first pixel value is 1, the second pixel value is 0; the first pixel value is 0, and the second pixel value is 1.
In an optional embodiment, if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image includes: if the light spot type is a white light spot, performing gray processing on the initial ultraviolet detection image to obtain a gray ultraviolet detection image; and (4) segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
Specifically, if the terminal detects that the light spot type of the initial ultraviolet detection image is a white light spot, graying the initial ultraviolet detection image, converting the initial ultraviolet detection image of 3-channel RGB into a single-channel grayscale image, and storing the grayscale value by only one byte per pixel to obtain the grayed ultraviolet detection image. And the terminal draws a gray value distribution curve according to the gray value of each pixel in the grayed ultraviolet detection image, sets the pixel higher than the preset gray threshold value as 1 and sets the pixel lower than the preset gray threshold value as 0 according to the preset gray threshold value obtained by combining artificial experience and the historical gray value distribution curve, and obtains a binaryzation light spot image.
In the embodiment, the initial ultraviolet detection image is grayed, so that an accurate gray value can be provided for subsequent binarization, and accurate binarization processing is further realized, thereby realizing division of a light spot area and a background area of the ultraviolet image.
In an optional embodiment, performing feature extraction on the spot image to obtain the spot feature includes: extracting the maximum light spot in the light spot image to obtain a target light spot image; and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
The characteristic parameters comprise the perimeter of a light spot and the area of the light spot.
Specifically, after the terminal obtains the light spot image, the area of the light spot region with the pixel value of 1 in the light spot image is calculated, the region with the largest light spot area is used as the target light spot, and the image where the target light spot is located is the target light spot image. And further calculating the perimeter and the area of the target light spot to obtain the perimeter and the area of the light spot.
Further, the terminal can characterize the area of the light spot image by counting the total number of pixel points (the points with pixel points being 1) in the white area in the binarized light spot image, and the definition formula of the light spot area is as follows:
A＝aN
in the formula, A is the actual area of the maximum light spot, a is the area of each pixel point and is related to the shooting distance and the parameter setting of the ultraviolet imager, and N is the number of the pixel points of each closed area in the maximum ultraviolet light spot.
The final uv spot perimeter is defined as:
S＝aL
in the formula, S is the actual circumference of the maximum ultraviolet light spot, a is the area of each pixel point and is related to the shooting distance and the parameter setting of the ultraviolet imager, and L is the number of the pixel points on the maximum ultraviolet light spot outline.
The maximum light spot profile extraction can adopt a gradient method, and for a binary image, the boundary can be determined only by judging whether the gradient of each pixel point changes, so that the profile is obtained, as shown in fig. 6. Edge detection may also be performed using the canny operator or the like.
In an alternative embodiment, extracting the largest spot in the spot image to obtain the target spot image includes: denoising the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
Specifically, after the terminal obtains the light spot image, the morphological filtering method is adopted to filter the binarized light spot image to obtain the preprocessed light spot image. Further, the terminal performs erosion re-expansion operation on the binarized spot image by using morphological opening operation, and the opening operation on the image B by using the structure a can be defined as follows:
the circular disc with the structure position radius of 1 is selected in the embodiment, and the binary light spot image is subjected to open operation, so that burrs and white noise in the image can be eliminated efficiently, a more accurate preprocessed light spot image is obtained, the obtained light spot edge is cleaned, and the characteristics are accurate.
And after the terminal obtains the preprocessed light spot image, calculating the area of each closed light spot region in the preprocessed light spot image, and taking the light spot with the largest area as a target light spot. Further, each spot region (i =1,2, \8230;, n) in the pre-processed spot image is labeled in turn. In the resulting pre-processed spot image, the discharged areas appear as white spots, with the element values corresponding to the pixel matrix positions taking a "1", while the non-discharged areas appear as black areas, with the element values corresponding to the pixel matrix taking a "0". And screening out the maximum part of the white area in the preprocessed light spot image as the target light spot according to the point number Ni of which the pixel value of each light spot area in the preprocessed light spot image is '1' obtained through statistics, as shown in fig. 5. And (4) reserving the pixel value of the maximum connected domain, and setting all pixel matrix elements of the light plate areas with other numbers as '0', namely finishing the maximum light spot extraction.
In this embodiment, the speckle image is denoised to remove noise, so as to obtain a more accurate speckle and further obtain more accurate speckle characteristics.
In order to easily understand the technical solution provided by the embodiment of the present application, as shown in fig. 7, a complete converter valve corona discharge ultraviolet image feature extraction process is used to briefly describe the converter valve corona discharge ultraviolet image feature extraction method provided by the embodiment of the present application:
(1) And acquiring an initial ultraviolet detection image of the corona discharge of the converter valve.
(2) Extracting a discharge image in the initial ultraviolet detection image; determining the light spot color of the discharge image; and determining the spot type according to the spot color.
(3) If the light spot type is a white light spot, performing gray processing on the initial ultraviolet detection image to obtain a gray ultraviolet detection image; and segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
(4) And if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold value method to obtain a light spot image.
(5) Denoising the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
(6) And obtaining the spot characteristics according to the spot perimeter and the spot area of the target spot image.
The embodiment applies the ultraviolet imaging technology to the actual inspection of the converter valve, and can realize the accurate processing of the obtained ultraviolet detection image to obtain the required characteristic parameters; ultraviolet detection images during discharge can be obtained through solar blind ultraviolet imaging equipment along with ultraviolet radiation during corona discharge of a fault part of the converter valve; for the obtained ultraviolet detection image, the Gamma correction is utilized to convert the image into a gray image, which is beneficial to the storage of the image and is convenient for further segmenting the discharge light spot and the background; an optimal threshold T is selected through a gray curve, a gray image is converted into a binary image by using a threshold segmentation method, filtering is performed through a morphological method, noise distribution in the binary image is effectively improved, and the obtained discharge light spot area is smooth in boundary and clear in image; the light spot profile is obtained by a gradient edge detection method, and then the maximum connected domain is screened out according to the number of pixel points, so that various characteristics of the discharge light spot are extracted. The method and the device can effectively remove noise interference, and the simplified ultraviolet image is utilized to realize the extraction of the spot area, the spot perimeter and the equivalent radius.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a converter valve corona discharge ultraviolet image feature extraction device for realizing the converter valve corona discharge ultraviolet image feature extraction method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so specific limitations in one or more embodiments of the converter valve corona discharge ultraviolet image feature extraction device provided below can be referred to the limitations on the converter valve corona discharge ultraviolet image feature extraction method in the above, and details are not repeated here.
In one embodiment, as shown in fig. 8, there is provided a converter valve corona discharge ultraviolet image feature extraction device, including: an obtaining module 802, a determining module 804, a segmenting module 806, and an extracting module 808, wherein:
an obtaining module 802, configured to obtain an initial ultraviolet detection image of converter valve corona discharge;
a determining module 804, configured to determine a light spot type according to the initial ultraviolet detection image;
a segmentation module 806, configured to segment the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and the extraction module 808 is configured to perform feature extraction on the light spot image to obtain the light spot feature.
In one embodiment, the determining module 804 is further configured to extract a discharge image in the initial ultraviolet detection image; determining the light spot color of the discharge image; and determining the spot type according to the spot color.
In one embodiment, the segmentation module 806 is further configured to segment the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image if the light spot type is a white light spot; and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold value method to obtain a light spot image.
In one embodiment, the segmentation module 806 is further configured to perform gray processing on the initial ultraviolet detection image to obtain a grayed ultraviolet detection image if the light spot type is a white light spot; and (4) segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
In one embodiment, the extracting module 808 is further configured to extract a maximum light spot in the light spot image to obtain a target light spot image; and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
In one embodiment, the extraction module 808 is further configured to perform denoising processing on the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
All or part of the modules in the converter valve corona discharge ultraviolet image feature extraction device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for communicating with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to realize a converter valve corona discharge ultraviolet image feature extraction method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of:
acquiring an initial ultraviolet detection image of the corona discharge of the converter valve;
determining the type of the light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
In one embodiment, the processor when executing the computer program further performs the steps of: determining the type of the light spot according to the initial ultraviolet detection image comprises the following steps: extracting a discharge image in the initial ultraviolet detection image; determining the light spot color of the discharge image; and determining the type of the light spot according to the color of the light spot.
In one embodiment, the processor, when executing the computer program, further performs the steps of: segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image, wherein the step of segmenting the initial ultraviolet detection image according to the image segmentation algorithm corresponding to the light spot type comprises the following steps: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image; and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold value method to obtain a light spot image.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image, wherein the light spot image comprises the following steps: if the light spot type is a white light spot, performing gray processing on the initial ultraviolet detection image to obtain a gray ultraviolet detection image; and segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the light spot image is subjected to feature extraction, and the light spot feature obtaining method comprises the following steps: extracting the maximum light spot in the light spot image to obtain a target light spot image; and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
In one embodiment, the processor when executing the computer program further performs the steps of: extracting the maximum light spot in the light spot image to obtain a target light spot image comprises the following steps: denoising the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring an initial ultraviolet detection image of the converter valve corona discharge;
determining the type of the light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the type of the light spot according to the initial ultraviolet detection image comprises the following steps: extracting a discharge image in the initial ultraviolet detection image; determining the color of a light spot of the discharge image; and determining the spot type according to the spot color.
In one embodiment, the computer program when executed by the processor further performs the steps of: according to an image segmentation algorithm corresponding to the light spot type, segmenting the initial ultraviolet detection image to obtain a light spot image, wherein the step of segmenting the initial ultraviolet detection image comprises the following steps: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image; and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold method to obtain a light spot image.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image, wherein the light spot image comprises the following steps: if the light spot type is a white light spot, performing gray processing on the initial ultraviolet detection image to obtain a gray ultraviolet detection image; and (4) segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
In one embodiment, the computer program when executed by the processor further performs the steps of: the light spot image is subjected to feature extraction, and the light spot feature obtaining method comprises the following steps: extracting the maximum light spot in the light spot image to obtain a target light spot image; and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting the maximum light spot in the light spot image to obtain a target light spot image comprises the following steps: denoising the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
In one embodiment, a computer program product is provided, comprising a computer program which when executed by a processor performs the steps of:
acquiring an initial ultraviolet detection image of the corona discharge of the converter valve;
determining the type of the light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the type of the light spot according to the initial ultraviolet detection image comprises the following steps: extracting a discharge image in the initial ultraviolet detection image; determining the light spot color of the discharge image; and determining the type of the light spot according to the color of the light spot.
In one embodiment, the computer program when executed by the processor further performs the steps of: segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image, wherein the step of segmenting the initial ultraviolet detection image according to the image segmentation algorithm corresponding to the light spot type comprises the following steps: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image; and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold value method to obtain a light spot image.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image, wherein the step of obtaining the light spot image comprises the following steps: if the light spot type is a white light spot, performing gray processing on the initial ultraviolet detection image to obtain a gray ultraviolet detection image; and segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
In one embodiment, the computer program when executed by the processor further performs the steps of: the light spot image is subjected to feature extraction, and the light spot feature obtaining method comprises the following steps: extracting the maximum light spot in the light spot image to obtain a target light spot image; and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting the maximum light spot in the light spot image to obtain a target light spot image comprises the following steps: denoising the light spot image to obtain a preprocessed light spot image; and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases involved in the embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A converter valve corona discharge ultraviolet image feature extraction method is characterized by comprising the following steps:
acquiring an initial ultraviolet detection image of the corona discharge of the converter valve;
determining the type of a light spot according to the initial ultraviolet detection image;
segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and performing feature extraction on the light spot image to obtain light spot features.
2. The method of claim 1, wherein determining a spot type from the initial ultraviolet inspection image comprises:
extracting a discharge image in the initial ultraviolet detection image;
determining the spot color of the discharge image;
and determining the type of the light spot according to the color of the light spot.
3. The method according to claim 2, wherein the segmenting the initial ultraviolet detection image according to the image segmentation algorithm corresponding to the light spot type to obtain the light spot image comprises:
if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image;
and if the light spot type is a red light spot, segmenting the initial ultraviolet detection image according to a three-channel threshold method to obtain a light spot image.
4. The method according to claim 3, wherein if the light spot type is a white light spot, segmenting the initial ultraviolet detection image according to a gray threshold method to obtain a light spot image comprises:
if the light spot type is a white light spot, performing gray processing on the initial ultraviolet detection image to obtain a gray ultraviolet detection image;
and segmenting the grayed ultraviolet detection image according to a gray threshold method to obtain a light spot image.
5. The method according to claim 1, wherein the performing feature extraction on the spot image to obtain a spot feature comprises:
extracting the maximum light spot in the light spot image to obtain a target light spot image;
and obtaining the light spot characteristics according to the characteristic parameters of the target light spot image.
6. The method according to claim 5, wherein the extracting a largest spot in the spot image to obtain a target spot image comprises:
denoising the light spot image to obtain a preprocessed light spot image;
and extracting the maximum light spot in the preprocessed light spot image to obtain a target light spot image.
7. A converter valve corona discharge ultraviolet image feature extraction device is characterized by comprising:
the acquisition module is used for acquiring an initial ultraviolet detection image of the corona discharge of the converter valve;
the determining module is used for determining the type of the light spot according to the initial ultraviolet detection image;
the segmentation module is used for segmenting the initial ultraviolet detection image according to an image segmentation algorithm corresponding to the light spot type to obtain a light spot image;
and the extraction module is used for extracting the characteristics of the light spot image to obtain the light spot characteristics.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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