CN109493292A - Enhancing treating method and apparatus based on power equipment infrared measurement of temperature image - Google Patents
Enhancing treating method and apparatus based on power equipment infrared measurement of temperature image Download PDFInfo
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- CN109493292A CN109493292A CN201811269499.0A CN201811269499A CN109493292A CN 109493292 A CN109493292 A CN 109493292A CN 201811269499 A CN201811269499 A CN 201811269499A CN 109493292 A CN109493292 A CN 109493292A
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- 238000005259 measurement Methods 0.000 title claims abstract description 95
- 230000002708 enhancing effect Effects 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 15
- 239000011159 matrix material Substances 0.000 claims abstract description 4
- 238000003672 processing method Methods 0.000 claims description 14
- 238000009825 accumulation Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 abstract description 12
- 238000004422 calculation algorithm Methods 0.000 abstract description 11
- 230000000694 effects Effects 0.000 abstract description 6
- 238000003745 diagnosis Methods 0.000 abstract description 4
- 238000009826 distribution Methods 0.000 description 20
- 230000008569 process Effects 0.000 description 7
- 230000009466 transformation Effects 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000001186 cumulative effect Effects 0.000 description 2
- 241001270131 Agaricus moelleri Species 0.000 description 1
- 206010037660 Pyrexia Diseases 0.000 description 1
- 230000002902 bimodal effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
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- G06T5/90—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
Abstract
The present invention relates to the enhancing treating method and apparatus based on power equipment infrared measurement of temperature image, belong to infrared measurement of temperature field of image processing.The present invention obtains the infrared measurement of temperature gray level image of power equipment first;Then according to the gray value dot matrix of infrared measurement of temperature gray level image, the pixel quantity that each gray value is included is counted;The lower limit value of the area-of-interest gray value of infrared measurement of temperature gray level image is calculated later;Image enhancement processing finally is carried out to the area-of-interest of infrared measurement of temperature gray level image.The present invention determines the intensity value ranges of area-of-interest first, carries out algorithm for image enhancement processing to emphasis heating position and shows, improves the effect of image enhancement, provide more accurate foundation for fault diagnosis.
Description
Technical field
The present invention relates to the enhancing treating method and apparatus based on power equipment infrared measurement of temperature image, belong to infrared measurement of temperature figure
As process field.
Background technique
Power equipment infrared measurement of temperature gray level image has important reference value to Fault Diagnosis for Electrical Equipment, and in infrared survey
In warm gray level image, the temperature distribution information for the block that generates heat has important reference value, medium temperature to evaluating status of electric power
The detailed information for spending distribution is abundanter, bigger to the reference value of status assessment, therefore, how in infrared temperature resolution ratio one
It is infrared measurement of temperature gray scale comprising more Temperature Distribution detailed information as much as possible during image is shown in the case where fixed
The emphasis of image procossing.Since the distribution of temperature in power equipment infrared measurement of temperature is generally relatively wide, using conventional infrared image
Show the pseudo color image that algorithm obtains, the distribution details displaying of temperature is unobvious, and certain puzzlement is caused to fault diagnosis.
Therefore assessment accuracy how is effectively improved, becomes emphasis concerned by people.
Currently, the general process of infrared image processing is: being obtained first by infrared measurement of temperature comprising two by thermal infrared imager
The original infrared measurement of temperature map of Temperature Distribution dot array data is tieed up, then the two-dimension temperature in the original infrared measurement of temperature map is distributed
Dot array data carries out linear transformation and obtains two dimensional gray value dot array data, then shows to obtain with temperature distribution information by map
Infrared measurement of temperature gray level image replace different gray scales using different colors then by different Pseudo Col ored Image algorithms
Value, reflects profiling temperatures finally by the distribution situation of color.In order to protrude Characteristics of The Distribution of Temperature, generally can all use
Algorithm for image enhancement.Image enhancement refers to that according to particular requirement, it is certain interested in image to protrude to take corresponding algorithm
Feature or information inhibit uninterested feature or information, and image is made to can satisfy the demand of subsequent applications.
It is as shown in Figure 1 the power equipment infrared measurement of temperature image used after general enhancing algorithm process in the prior art,
Its grey level histogram is as shown in Fig. 2, its temperature spot distribution side figure is (abscissa unit is degree Celsius) as shown in Figure 3.But current, electricity
The algorithm for image enhancement of power equipment infrared measurement of temperature is mostly the ash during Linear Transformation by manually adjusting each pixel of image
Spend the linear transformation factor, the Temperature Distribution details for the core part that gives top priority to what is the most important.This method needs dragging sliding block manually, operation
Complexity, and adjust process and rely on experience, is difficult to select optimal transformation factor so that finally to feature of interest in image or
Information enhancement effect is simultaneously bad.
Summary of the invention
The object of the present invention is to provide a kind of enhancing treating method and apparatus based on power equipment infrared measurement of temperature image, with
It solves the problems, such as bad for reinforcing effect in the enhancing processing of power equipment infrared measurement of temperature gray level image at present.
To achieve the above object, the present invention provides a kind of enhancing processing method based on power equipment infrared measurement of temperature image,
The enhancing processing method the following steps are included:
(1) the infrared measurement of temperature image for obtaining power equipment, is converted to infrared measurement of temperature grayscale image for the infrared measurement of temperature image
Picture;
(2) according to the gray value dot matrix of infrared measurement of temperature gray level image, the pixel quantity that each gray value is included is counted;
(3) the lower limit value A of the area-of-interest gray value of infrared measurement of temperature gray level image is calculatedL;
Wherein, gray value is more than or equal to AL- 1 is less than or equal to AHIntensity value ranges in included pixel sum be greater than
T, gray value are more than or equal to ALLess than or equal to AHIntensity value ranges in included pixel sum be less than or equal to T, AHIt is infrared
The gray scale maximum value of thermometric gray level image, T are that the area-of-interest of infrared measurement of temperature gray level image sets pixel quantity;
(4) gray value is more than or equal to ALLess than or equal to AHRegion of interest of the pixel as infrared measurement of temperature gray level image
Domain carries out image enhancement processing to the area-of-interest of infrared measurement of temperature gray level image.
The beneficial effects of the present invention are:
The present invention first determines the area-of-interest of infrared measurement of temperature gray level image, that is, power equipment emphasis heating position
Position, determines the intensity value ranges of the area-of-interest of infrared measurement of temperature gray level image, carries out image to emphasis heating position later
Enhancing algorithm process is simultaneously shown, to improve contrast of the emphasis heating position in figure, so that can be improved when image is shown
The temperature resolution of area-of-interest shows the detailed information of more Temperature Distributions, improves the effect of image enhancement, examines for failure
It is disconnected that more accurate foundation is provided.
Further, in order to provide the lower limit value of preferably area-of-interest gray value of infrared measurement of temperature gray level image a kind of
ALCalculation method, the lower limit value A of the area-of-interest gray value of infrared measurement of temperature gray level imageLCalculation method include following step
It is rapid:
1) it is less than or equal to A in gray valueHPixel in, be A with gray valueHPixel be starting point, and with gray value according to
Secondary reduced sequence, the pixel quantity for successively being included to each gray value add up, and are added up and S0;
2) after adding up every time, compare S0With the size of T, if S0≤ T then continues to carry out accumulation calculating downwards;If S0> T, then
Using the second small gray value of accumulated calculating at this time as AL。
Further, in order to improve infrared measurement of temperature gray level image area-of-interest gray value lower limit value ALCalculating effect
Rate, the present invention in ALCalculation method the following steps are included:
A) pixel quantity for being included by each gray value is ranked up from more to less, m gray value before selecting, wherein m
For the integer not less than 2;
B) it from m gray value, selects and AHApart from nearest gray value, it is denoted as Am;
C) statistics gray value is more than or equal to AmLess than or equal to AHIntensity value ranges in included pixel sum, be denoted as
S1;
It d) is A with gray valuem- 1 pixel is starting point, and the sequence being sequentially reduced with gray value, successively to each gray scale
The pixel quantity that value is included adds up, and is added up and S2;
E) after adding up every time, compare S2With T-S1Size, if S2≤T-S1, then continue to carry out accumulation calculating downwards;If S2>
T-S1, then using the second small gray value of accumulated calculating at this time as AL。
Further, enhance the effect handled to improve, to the region of interest of infrared measurement of temperature gray level image in the present invention
Domain carries out linear stretch image enhancement processing.
Further, in order to make calculated ALIt more corresponds to actual needs, T is infrared measurement of temperature gray level image picture in the present invention
The 30% of vegetarian refreshments sum.
To achieve the above object, the present invention also provides a kind of, and the enhancing based on power equipment infrared measurement of temperature image handles dress
It sets, including memory, processor and stores the computer program that can be run in memory and on a processor, the place
Reason device realizes the enhancing processing method described in any of the above embodiments based on power equipment infrared measurement of temperature image when executing described program.
The beneficial effects of the present invention are:
The present invention first determines the area-of-interest of infrared measurement of temperature gray level image, that is, power equipment emphasis heating position
Position, determines the intensity value ranges of the area-of-interest of infrared measurement of temperature gray level image, carries out image to emphasis heating position later
Enhancing algorithm process is simultaneously shown, to improve contrast of the emphasis heating position in figure, so that can be improved when image is shown
The temperature resolution of area-of-interest shows the detailed information of more Temperature Distributions, improves the effect of image enhancement, examines for failure
It is disconnected that more accurate foundation is provided.
Detailed description of the invention
Fig. 1 is in the prior art using the power equipment infrared measurement of temperature image after general enhancing algorithm process;
Fig. 2 is the grey level histogram of Fig. 1;
The temperature spot distribution side that Fig. 3 is Fig. 1 schemes;
Fig. 4 is that the present invention is based on the flow charts of the enhancing processing method of power equipment infrared measurement of temperature image;
Fig. 5 is the enhancing of embodiment of the present invention method one treated power equipment infrared measurement of temperature image;
Fig. 6 is the grey level histogram of Fig. 5;
The temperature spot distribution side that Fig. 7 is Fig. 5 schemes.
Specific embodiment
A specific embodiment of the invention is described further with reference to the accompanying drawing.
Embodiment of the method one provided by the invention:
It is illustrated in figure 4 that the present invention is based on the flow charts of the enhancing processing method of power equipment infrared measurement of temperature image, specifically
Shown in steps are as follows:
1, the infrared measurement of temperature image for obtaining power equipment, is converted to infrared measurement of temperature gray level image for the infrared measurement of temperature image.
The original infrared survey that dot array data is distributed comprising two-dimension temperature is specifically obtained by infrared measurement of temperature by thermal infrared imager
Then warm map carries out linear transformation to the two-dimension temperature distribution dot array data in the original infrared measurement of temperature map and obtains two-dimentional ash
Angle value dot array data.
2, according to the gray value dot matrix of infrared measurement of temperature gray level image, the pixel number that same gray value is included is counted
Amount, and using gray value as abscissa, pixel number is that ordinate draws out distribution statistics figure i.e. grey level histogram.
And since the gray value size in infrared measurement of temperature gray level image represents the temperature height of the practical position, then full
The pixel of the area-of-interest gray value claimed range of sufficient infrared measurement of temperature gray level image has just collectively constituted infrared measurement of temperature gray scale
The area-of-interest of image.
3, the lower limit value A of the area-of-interest gray value of infrared measurement of temperature gray level image is calculatedL。
1) pixel for being 255 using gray value is starting point, and the sequence being sequentially reduced with gray value, successively calculates first each
The cumulative and S for the pixel quantity that gray value includes0;
2) the pixel quantity D that gray value includes by t is definedt, wherein [0,255] t ∈, successively makes S first0=D255,
S0=D255+D254,S0=D255+D254+D253,…,S0=D255+…+Dx,…,S0=D255+…+D0, after adding up every time, compare
S0With the size of T, if S0≤ T then continues to carry out accumulation calculating downwards;If S0> T is then small by the second of accumulated calculating at this time
Gray value as AL;Wherein, T is the 30% of infrared measurement of temperature gray level image pixel sum.
Below with ALIt is x (x ∈ [1,255) and x ∈ Z) for example, working as S0=D255+…+DxWhen < T, need to continue downwards
It is cumulative, make S0=D255+…+Dx+Dx-1If S at this time0> T, then the gray scale for participating in calculating at this time is exactly x-1 to 255, then
Second small gray value is exactly x, at this time just by ALValue be set as x.
The gray scale maximum value A of infrared measurement of temperature gray level image in the present embodimentHIt is 255, certainly, with actual in practical application
Subject to infrared measurement of temperature gray level image gray scale maximum value.And T sets pixel as the area-of-interest of infrared measurement of temperature gray level image
Quantity has been decided to be the 30% of infrared measurement of temperature gray level image pixel sum, this 30% is according to analyzing mass data
Afterwards, summary of experience obtains, this data can be practical well comprising core block needed for fault diagnosis and time core block
The value of T can be adjusted when use according to use occasion, to cope with different usage scenarios, but the value of T should cover
Power equipment emphasis fever peak value position corresponding pixel in infrared measurement of temperature gray level image.
4, gray value is more than or equal to ALRegion of interest of the pixel as infrared measurement of temperature gray level image less than or equal to 255
Domain carries out image enhancement processing to the area-of-interest of infrared measurement of temperature gray level image.
I) by gray value ALThe gray value of corresponding pixel is set as 0;By gray value AHThe gray value of corresponding pixel is set
It is 255;The corresponding gray value of other pixels in the area-of-interest of infrared measurement of temperature gray level image is subjected to linear stretch;It will
The corresponding gray value of pixel other than the area-of-interest of infrared measurement of temperature gray level image is set as 0;It completes for infrared measurement of temperature ash
Spend the grey level enhancement transformation of the area-of-interest of image;
Ii Pseudo Col ored Image) is carried out to the transformed infrared measurement of temperature gray level image of grey level enhancement, is completed to infrared measurement of temperature ash
Spend the image enhancement processing of the area-of-interest of image.Specific Pseudo Col ored Image belongs to the prior art, is not repeated herein.
It is illustrated in figure 5 the enhancing of embodiment of the present invention method one treated power equipment infrared measurement of temperature image, gray scale
Histogram is as shown in fig. 6, its temperature spot distribution side figure is (abscissa unit is degree Celsius) as shown in Figure 7.The present embodiment passes through upper
After linear image enhancing algorithm is stated to the processing of infrared measurement of temperature gray level image, the temperature resolution of core region-of-interest can be improved,
It shows the detailed information of more Temperature Distributions, will be helpful to the temperature point that power equipment operation maintenance personnel reflects according to image in this way
Cloth information carries out more accurately assessment and judgement to status of electric power.The work of power equipment infrared measurement of temperature can be effectively improved
Efficiency, equipment heating potential faults, reduce economic loss caused by equipment fault in advance.
Certainly when actually carrying out image enhancement processing, other existing image enchancing methods can also be used, such as
Gamma correction, histogram equalization, histogram specification and homomorphic filter etc..
The present invention also provides embodiments of the method two:
The difference of the present embodiment and embodiment of the method one is only that the area-of-interest ash for calculating infrared measurement of temperature gray level image
The lower limit value A of angle valueLThe difference of method.
This implementation calculates A by following stepsLSize:
1) pixel quantity for being included by each gray value is ranked up from more to less, is selected preceding 3 gray values and (is existed certainly
Under different application scenarios, the size of the quantity can with appropriateness be adjusted);
2) it from 3 gray values selected, selects with 255 apart from nearest gray value, is denoted as Am;
3) statistics gray value is more than or equal to AmThe pixel sum for being included in intensity value ranges less than or equal to 255, note
For S1;
It 4) is A with gray valuem- 1 pixel is starting point, and the sequence being sequentially reduced with gray value, successively to each gray scale
The pixel quantity that value is included adds up, and is added up and S2;
5) after adding up every time, compare S2With T-S1Size, if S2≤T-S1, then continue to carry out accumulation calculating downwards;If S2>
T-S1, then using the second small gray value of accumulated calculating at this time as AL。
Since power equipment is in addition to heating position, most of temperature and environment temperature difference are little, and only heating position is remote
Higher than environment position, as shown in fig. 6, bimodal distribution is generally presented in the grey level histogram of power equipment infrared measurement of temperature gray level image,
I.e. there are two the intensity profile grade more concentrated, general first peak value section, mostly gray value (corresponding temperature value) are relatively
Low section, the corresponding section gray value is mostly non-heating region in device context or equipment, and second peak value section, more
For the relatively high section of gray value (corresponding temperature value), the corresponding mostly equipment heating region in the section and the area of ambient radiation
Domain.Accordingly, the corresponding region in second peak value section is the region for carrying out power equipment infrared measurement of temperature and paying close attention to the most.The present embodiment
Using this characteristic, it is quickly found out the core position paid close attention to, relative to embodiment of the method one, greatly reduces calculation amount,
Improve treatment effeciency.
In addition to this, the present invention also provides Installation practices one:
The enhancing processing unit based on power equipment infrared measurement of temperature image, including memory, processor and be stored in
In memory and the computer program that can run on a processor, the processor are realized any of the above-described when executing described program
Enhancing processing method based on power equipment infrared measurement of temperature image described in embodiment of the method.
And when specifically being programmed, since the knowledge such as the grammer of programming language are the common knowledges of this field, technology
Personnel have the ability completely, and the enhancing processing method specifically based on power equipment infrared measurement of temperature image, use are existing according to the present invention
Programming language (such as C language, JAVA, assembler language, C#, C++ etc.) programmed accordingly, this process does not give herein
It repeats.
Specific embodiment is presented above, but the present invention is not limited to described embodiment.Base of the invention
This thinking is above-mentioned basic scheme, the change carried out without departing from the principles and spirit of the present invention to embodiment
Change, modify, replacement and variant is still fallen in protection scope of the present invention.
Claims (6)
1. the enhancing processing method based on power equipment infrared measurement of temperature image, which is characterized in that the enhancing processing method include with
Lower step:
(1) the infrared measurement of temperature image for obtaining power equipment, is converted to infrared measurement of temperature gray level image for the infrared measurement of temperature image;
(2) according to the gray value dot matrix of infrared measurement of temperature gray level image, the pixel quantity that each gray value is included is counted;
(3) the lower limit value A of the area-of-interest gray value of infrared measurement of temperature gray level image is calculatedL;
Wherein, gray value is more than or equal to AL- 1 is less than or equal to AHIntensity value ranges in included pixel sum be greater than T, ash
Angle value is more than or equal to ALLess than or equal to AHIntensity value ranges in included pixel sum be less than or equal to T, AHFor infrared measurement of temperature
The gray scale maximum value of gray level image, T are that the area-of-interest of infrared measurement of temperature gray level image sets pixel quantity;
(4) gray value is more than or equal to ALLess than or equal to AHArea-of-interest of the pixel as infrared measurement of temperature gray level image,
Image enhancement processing is carried out to the area-of-interest of infrared measurement of temperature gray level image.
2. the enhancing processing method according to claim 1 based on power equipment infrared measurement of temperature image, which is characterized in that red
The lower limit value A of the area-of-interest gray value of outer thermometric gray level imageLCalculation method the following steps are included:
1) it is less than or equal to A in gray valueHPixel in, be A with gray valueHPixel be starting point, and successively subtracted with gray value
Small sequence, the pixel quantity for successively being included to each gray value add up, and are added up and S0;
2) after adding up every time, compare S0With the size of T, if S0≤ T then continues to carry out accumulation calculating downwards;If S0> T, then by this
When accumulated calculating the second small gray value as AL。
3. the enhancing processing method according to claim 1 based on power equipment infrared measurement of temperature image, which is characterized in that red
The lower limit value A of the area-of-interest gray value of outer thermometric gray level imageLCalculation method the following steps are included:
A) pixel quantity for being included by each gray value is ranked up from more to less, m gray value before selecting, and wherein m is not
Integer less than 2;
B) it from m gray value, selects and AHApart from nearest gray value, it is denoted as Am;
C) statistics gray value is more than or equal to AmLess than or equal to AHIntensity value ranges in included pixel sum, be denoted as S1;
It d) is A with gray valuem- 1 pixel is starting point, and the sequence being sequentially reduced with gray value successively wraps each gray value
The pixel quantity contained adds up, and is added up and S2;
E) after adding up every time, compare S2With T-S1Size, if S2≤T-S1, then continue to carry out accumulation calculating downwards;If S2>T-
S1, then using the second small gray value of accumulated calculating at this time as AL。
4. the enhancing processing method according to claim 1 based on power equipment infrared measurement of temperature image, which is characterized in that right
The area-of-interest of infrared measurement of temperature gray level image carries out linear stretch image enhancement processing.
5. the enhancing processing method according to claim 1-4 based on power equipment infrared measurement of temperature image, special
Sign is that T is the 30% of infrared measurement of temperature gray level image pixel sum.
6. based on the enhancing processing unit of power equipment infrared measurement of temperature image, including memory, processor and it is stored in storage
In device and the computer program that can run on a processor, which is characterized in that the processor is realized when executing described program
Enhancing processing method described in any one of claim 1 to 5 based on power equipment infrared measurement of temperature image.
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