CN109493292B - Enhancement processing method and device based on infrared temperature measurement image of power equipment - Google Patents
Enhancement processing method and device based on infrared temperature measurement image of power equipment Download PDFInfo
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Abstract
The invention relates to an enhancement processing method and device based on an infrared temperature measurement image of power equipment, and belongs to the field of infrared temperature measurement image processing. Firstly, acquiring an infrared temperature measurement gray image of power equipment; then, according to the gray value dot matrix of the infrared temperature measurement gray image, counting the number of pixel points contained in each gray value; then calculating a lower limit value of the gray value of the region of interest of the infrared temperature measurement gray image; and finally, carrying out image enhancement processing on the interested region of the infrared temperature measurement gray level image. The method firstly determines the gray value range of the region of interest, performs image enhancement algorithm processing on the heat of repetition part and displays the heat of repetition part, improves the image enhancement effect and provides more accurate basis for fault diagnosis.
Description
Technical Field
The invention relates to an enhancement processing method and device based on an infrared temperature measurement image of power equipment, and belongs to the field of infrared temperature measurement image processing.
Background
The infrared temperature measurement gray level image of the power equipment has an important reference value for power equipment fault diagnosis, and in the infrared temperature measurement gray level image, the temperature distribution information of the heating block has an important reference value for power equipment state evaluation, wherein the richer the detail information of the temperature distribution, the greater the reference value for the state evaluation, so that how to include more temperature distribution detail information is the key point of infrared temperature measurement gray level image processing in the image display process as far as possible under the condition of certain infrared temperature resolution. Because the distribution range of the temperature in the infrared temperature measurement of the power equipment is generally wide, the distribution details of the temperature of the pseudo-color image obtained by adopting the conventional infrared image display algorithm are not obviously displayed, and certain trouble is caused for fault diagnosis. Therefore, how to effectively improve the evaluation accuracy becomes a key point of attention of people.
Currently, the general process of infrared image processing is: firstly, an original infrared temperature measurement map containing two-dimensional temperature distribution dot matrix data is obtained through infrared temperature measurement by a thermal infrared imager, then the two-dimensional temperature distribution dot matrix data in the original infrared temperature measurement map is subjected to linear transformation to obtain two-dimensional gray value dot matrix data, then an infrared temperature measurement gray image with temperature distribution information is obtained through map display, then different colors are used for replacing different gray values through different pseudo-color processing algorithms, and finally the temperature distribution condition is reflected through the distribution condition of the colors. In order to highlight the temperature distribution characteristics, an image enhancement algorithm is generally adopted. The image enhancement is to adopt a corresponding algorithm to highlight certain interesting features or information in an image and inhibit uninteresting features or information according to specific requirements so that the image can meet the requirements of subsequent applications.
Fig. 1 shows an infrared temperature measurement image of the electrical equipment processed by a general enhancement algorithm in the prior art, a gray level histogram of the infrared temperature measurement image is shown in fig. 2, and a temperature point distribution diagram of the infrared temperature measurement image is shown in fig. 3 (the abscissa unit is in degrees celsius). However, in the current image enhancement method for infrared temperature measurement of power equipment, the gray level linear transformation factor of each pixel point of an image is manually adjusted in the process of linear transformation, so that the temperature distribution detail condition of a key core part is highlighted. The method needs to manually drag the sliding block, is complex to operate, and is difficult to select the optimal transformation factor due to the fact that the adjustment process depends on experience, so that the enhancement effect on the interesting features or information in the image is not good finally.
Disclosure of Invention
The invention aims to provide a method and a device for enhancing processing based on an infrared temperature measurement image of power equipment, and aims to solve the problem of poor enhancement effect in the prior art for enhancing the infrared temperature measurement gray level image of the power equipment.
In order to achieve the above object, the present invention provides an enhancement processing method based on an infrared temperature measurement image of an electrical device, the enhancement processing method comprising the following steps:
acquiring an infrared temperature measurement image of the power equipment, and converting the infrared temperature measurement image into an infrared temperature measurement gray image;
secondly, counting the number of pixel points contained in each gray value according to the gray value dot matrix of the infrared temperature measurement gray image;
(III) calculating the lower limit value A of the gray value of the interested region of the infrared temperature measurement gray imageL；
Wherein the gray value is greater than or equal to AL-1 is equal to or less than AHThe total number of pixel points contained in the gray value range is more than T, and the gray value is more than or equal to ALIs less than or equal to AHWithin the range of gray values ofThe total number of the contained pixel points is less than or equal to T, AHSetting the number of pixel points for the maximum gray value of the infrared temperature measurement gray image and the T value of the interested area of the infrared temperature measurement gray image;
(IV) making the gray value be greater than or equal to ALIs less than or equal to AHThe pixel point of the image enhancement processing method is used as an interested area of the infrared temperature measurement gray level image, and image enhancement processing is carried out on the interested area of the infrared temperature measurement gray level image.
The invention has the beneficial effects that:
according to the method, firstly, the interested region of the infrared temperature measurement gray level image, namely the key heating part of the power equipment, is positioned, the gray level value range of the interested region of the infrared temperature measurement gray level image is determined, then the image enhancement algorithm processing is carried out on the key heating part and the image enhancement algorithm processing is carried out on the key heating part, so that the contrast of the key heating part in the image is improved, the temperature resolution of the interested region can be improved when the image is displayed, more detailed information of temperature distribution is displayed, the image enhancement effect is improved, and more accurate basis is provided for fault diagnosis.
Furthermore, in order to provide a better lower limit value A of the gray value of the interested region of the infrared temperature measurement gray imageLThe lower limit value A of the gray value of the interested region of the infrared temperature measurement gray imageLThe calculation method comprises the following steps:
1) at a gray value of A or lessHIn the pixel points (2), the gray value is taken as AHThe pixel points of (2) are taken as starting points, and the number of the pixel points contained in each gray value is accumulated in sequence according to the sequence that the gray values are reduced in sequence to obtain an accumulated sum S0；
2) After each accumulation, compare S0And the size of T, if S0If the T is less than or equal to T, continuing to perform accumulation calculation downwards; if S0>T, the second small gray value participating in the accumulation calculation at the moment is taken as AL。
Furthermore, in order to improve the lower limit value A of the gray value of the region of interest of the infrared temperature measurement gray imageLEfficiency of calculation of (A) in the present inventionLThe calculation method comprises the following steps:
a) sorting according to the number of pixel points contained in each gray value from more to less, and selecting the first m gray values, wherein m is an integer not less than 2;
b) from the m gray values, the AND value A is selectedHThe closest gray value is marked as Am；
c) Statistical grey value greater than or equal to AmIs less than or equal to AHThe total number of pixels contained in the gray value range of (1) is recorded as S1；
d) With the gray value of Am-1, and accumulating the number of pixels contained in each gray value in sequence in order of decreasing gray value to obtain an accumulated sum S2；
e) After each accumulation, compare S2And T-S1If S is large or small2≤T-S1If yes, continuing to perform accumulation calculation downwards; if S2>T-S1Then the second smallest gray value participating in the accumulation calculation at this time is taken as AL。
Further, in order to improve the effect of enhancement processing, the method and the device perform linear stretching image enhancement processing on the interested region of the infrared temperature measurement gray level image.
Further, in order to calculate ALThe method is more suitable for actual needs, and T is 30% of the total number of the pixels of the infrared temperature measurement gray image.
In order to achieve the above object, the present invention further provides an enhancement processing apparatus based on an infrared temperature measurement image of an electrical device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements any one of the above enhancement processing methods based on the infrared temperature measurement image of the electrical device when executing the program.
The invention has the beneficial effects that:
according to the method, firstly, the interested region of the infrared temperature measurement gray level image, namely the key heating part of the power equipment, is positioned, the gray level value range of the interested region of the infrared temperature measurement gray level image is determined, then the image enhancement algorithm processing is carried out on the key heating part and the image enhancement algorithm processing is carried out on the key heating part, so that the contrast of the key heating part in the image is improved, the temperature resolution of the interested region can be improved when the image is displayed, more detailed information of temperature distribution is displayed, the image enhancement effect is improved, and more accurate basis is provided for fault diagnosis.
Drawings
FIG. 1 is an infrared temperature measurement image of an electrical device processed by a general enhancement algorithm in the prior art;
FIG. 2 is a gray level histogram of FIG. 1;
FIG. 3 is a temperature point profile of FIG. 1;
FIG. 4 is a flowchart of an enhancement processing method based on infrared temperature measurement images of the power equipment according to the present invention;
FIG. 5 is an enhanced infrared temperature measurement image of the power equipment according to an embodiment of the present invention;
FIG. 6 is a histogram of gray levels of FIG. 5;
fig. 7 is a temperature point distribution diagram of fig. 5.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings.
The embodiment of the method provided by the invention comprises the following steps:
fig. 4 is a flowchart of an enhancement processing method based on an infrared temperature measurement image of a power device according to the present invention, which includes the following steps:
1. and acquiring an infrared temperature measurement image of the power equipment, and converting the infrared temperature measurement image into an infrared temperature measurement gray image.
Specifically, an original infrared temperature measurement map containing two-dimensional temperature distribution dot matrix data is obtained through infrared temperature measurement by a thermal infrared imager, and then the two-dimensional temperature distribution dot matrix data in the original infrared temperature measurement map is subjected to linear transformation to obtain two-dimensional gray value dot matrix data.
2. According to the gray value lattice of the infrared temperature measurement gray image, the number of pixel points contained in the same gray value is counted, and a distribution statistical graph, namely a gray level histogram, is drawn by taking the gray value as a horizontal coordinate and the number of the pixel points as a vertical coordinate.
And because the gray value in the infrared temperature measurement gray image represents the temperature of the actual position, the pixel points meeting the gray value requirement range of the interested region of the infrared temperature measurement gray image jointly form the interested region of the infrared temperature measurement gray image.
3. Calculating the lower limit value A of the gray value of the interested region of the infrared temperature measurement gray imageL。
1) With the pixels with the gray value of 255 as the starting point and the gray values decreasing in sequence, the sum S of the number of pixels included in each gray value is calculated in sequence0；
2) Defining the number D of pixel points contained in the gray value ttWhere t ∈ [0,255 ]]First, S is sequentially activated0＝D255,S0＝D255+D254,S0＝D255+D254+D253,…,S0＝D255+…+Dx,…,S0＝D255+…+D0After each accumulation, S is compared0And the size of T, if S0If the T is less than or equal to T, continuing to perform accumulation calculation downwards; if S0>T, the second small gray value participating in the accumulation calculation at the moment is taken as AL(ii) a Wherein T is 30% of the total number of pixels of the infrared temperature measurement gray image.
Below with ALIs illustrated as x (x ∈ [1,255) and x ∈ [ Z ]), when S0＝D255+…+Dx<T, the step of adding is needed to make S0＝D255+…+Dx+Dx-1If at this time S0>T, then the gray level involved in the calculation at this time is x-1 to 255, then the second smallest gray level is x, then A will beLThe value of (d) is set to x.
In this embodiment, the maximum gray value A of the infrared temperature measurement gray imageHThe value is 255, and certainly, in practical application, the maximum value of the gray scale of the actual infrared temperature measurement gray scale image is taken as the standard. The quantity of the set pixel points of the interested region with T as the infrared temperature measurement gray level image is determined to be 30% of the total quantity of the pixel points of the infrared temperature measurement gray level image, and the 30% is obtained by analyzing a large amount of dataThe data can well contain the core block and the sub-core block required by fault diagnosis, and the value of T can be adjusted according to the use occasion in practical use so as to deal with different use scenes, but the value of T should contain the corresponding pixel point of the key heating peak value part of the power equipment in the infrared temperature measurement gray level image.
4. The gray value is more than or equal to ALAnd taking the pixel points less than or equal to 255 as interested areas of the infrared temperature measurement gray level image, and performing image enhancement processing on the interested areas of the infrared temperature measurement gray level image.
i) The gray value A is measuredLSetting the gray value of the corresponding pixel point as 0; the gray value A is measuredHThe gray value of the corresponding pixel point is set to be 255; linearly stretching gray values corresponding to other pixel points in the region of interest of the infrared temperature measurement gray image; setting a gray value corresponding to a pixel point outside the region of interest of the infrared temperature measurement gray image as 0; finishing gray level enhancement transformation of an interested area aiming at the infrared temperature measurement gray level image;
and ii) carrying out pseudo-color processing on the infrared temperature measurement gray level image after gray level enhancement conversion to finish image enhancement processing on the interested region of the infrared temperature measurement gray level image. The specific pseudo color processing belongs to the prior art and is not described herein.
Fig. 5 shows an infrared temperature measurement image of the electrical equipment after enhancement processing according to an embodiment of the method of the present invention, wherein a gray level histogram is shown in fig. 6, and a temperature point distribution diagram is shown in fig. 7 (abscissa unit is in degrees celsius). In the embodiment, after the infrared temperature measurement gray level image is processed by the linear image enhancement algorithm, the temperature resolution of the core attention area can be improved, and more detailed information of temperature distribution is displayed, so that more accurate evaluation and judgment of the state of the power equipment can be performed by the operation and maintenance personnel of the power equipment according to the temperature distribution information reflected by the image. The infrared temperature measurement work efficiency of the power equipment can be effectively improved, the hidden danger of the heating fault of the equipment is advanced, and the economic loss caused by the equipment fault is reduced.
Of course, when actually performing the image enhancement processing, other conventional image enhancement methods such as Gamma correction, histogram equalization, histogram specification, and homomorphic filter may be used.
The invention also provides a second method embodiment:
the difference between this embodiment and the first embodiment of the method is only that the lower limit value a of the gray value of the region of interest of the infrared temperature measurement gray image is calculatedLThe method is different.
The present implementation calculates A by the following stepsLThe size of (2):
1) sorting the number of pixels contained in each gray value from more to less, and selecting the first 3 gray values (certainly, under different application scenes, the number can be properly adjusted);
2) selecting the gray value closest to 255 from the selected 3 gray values, and recording the gray value as Am；
3) Statistical grey value greater than or equal to AmThe total number of pixels contained in the gray value range less than or equal to 255 is marked as S1；
4) With the gray value of Am-1, and accumulating the number of pixels contained in each gray value in sequence in order of decreasing gray value to obtain an accumulated sum S2；
5) After each accumulation, compare S2And T-S1If S is large or small2≤T-S1If yes, continuing to perform accumulation calculation downwards; if S2>T-S1Then the second smallest gray value participating in the accumulation calculation at this time is taken as AL。
As most of the temperatures of the power equipment except the heating portion are not much different from the ambient temperature, and only the heating portion is far higher than the ambient portion, as shown in fig. 6, the gray histogram of the infrared temperature measurement gray image of the power equipment generally shows a bimodal distribution, i.e. there are two more concentrated gray distribution levels, generally the first peak interval is mostly an interval with a relatively low gray value (corresponding temperature value), the gray value of the interval corresponds to an unheated area on the equipment background or the equipment, and the second peak interval is mostly an interval with a relatively high gray value (corresponding temperature value), and the interval corresponds to an area with a relatively high gray value (corresponding temperature value) and an area with radiation around the equipment heated area. Accordingly, the region corresponding to the second peak interval is the region most concerned with performing infrared temperature measurement of the power equipment. By utilizing the characteristic, the core position which is focused on is quickly found, and compared with the first method embodiment, the calculation amount is greatly reduced, and the processing efficiency is improved.
In addition, the present invention further provides a first apparatus embodiment:
the device for enhancing the infrared temperature measurement image based on the power equipment comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein when the processor executes the program, the processor realizes the method for enhancing the infrared temperature measurement image based on the power equipment in any method embodiment.
When the specific programming is performed, since knowledge of the programming language such as syntax is common knowledge in the art, it is fully within the ability of the skilled person to perform the corresponding programming by using the existing programming language (for example, C language, JAVA, assembly language, C #, C + +, etc.) according to the specific processing method for enhancing the infrared temperature measurement image of the power device of the present invention, and this process is not described herein again.
The specific embodiments are given above, but the present invention is not limited to the described embodiments. The basic idea of the present invention is to provide the basic solution described above, and variations, modifications, replacements, and variations of the embodiments can be made without departing from the principle and spirit of the present invention, and still fall within the protection scope of the present invention.
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