CN114119722A - Black body cursor automatic positioning method and device - Google Patents
Black body cursor automatic positioning method and device Download PDFInfo
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- 238000009825 accumulation Methods 0.000 claims abstract description 17
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- 238000005260 corrosion Methods 0.000 claims abstract description 4
- 230000007797 corrosion Effects 0.000 claims abstract description 4
- 238000005530 etching Methods 0.000 claims description 3
- 238000009529 body temperature measurement Methods 0.000 abstract description 12
- 230000036760 body temperature Effects 0.000 description 3
- 230000004075 alteration Effects 0.000 description 1
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention discloses a black body cursor automatic positioning method and a device, comprising the following steps: moving the infrared module to obtain n black body images; judging the blackbody temperature of each blackbody image target surface area, and performing negation operation when the blackbody temperature is lower than the ambient temperature; determining and marking a connected region in the black body target surface region of each black body image; performing accumulation operation on the image; performing automatic threshold segmentation on the accumulated black body image, and converting the black body image into a binary image; carrying out corrosion operation on the binary image to obtain a corroded image; and determining the position of the pixel point with the maximum gray value, wherein the position of the pixel point with the maximum gray value is the cursor position of the black body and outputting the cursor position. The method can automatically and accurately determine the cursor position in the black body image without manual repeated adjustment, thereby greatly improving the infrared data acquisition efficiency and ensuring the accuracy of the temperature measurement result.
Description
Technical Field
The invention relates to the field of image recognition, in particular to a black body cursor automatic positioning method and device.
Background
In the infrared data acquisition process, the light sensation values of the same pixel of the infrared module to black bodies with different distances and different temperatures need to be acquired, so that a temperature measurement curve is generated. The current general scheme of taking is, after infrared module is fixed to the installation hole site, make it gather black body image under the different distances in proper order through removing this infrared module to adjust the position of infrared module repeatedly through manual operation at every collection position, in order to obtain the black body image, then estimate the position of a position in the target surface region of black body image, again according to the position of this position and black body temperature fitting go out the temperature measurement curve.
The manual operation mode is complex, wastes time and energy, and has higher operation requirement on operators, so that mistakes are easily caused due to careless operation, the deviation of the estimated point position is larger, the collected data is further invalid, an accurate temperature measurement curve cannot be formed, and the obvious deviation of the actual temperature measurement result is caused.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the method and the device for automatically positioning the black body cursor, which can automatically and accurately determine the cursor position in the black body image without manual repeated adjustment, thereby greatly improving the infrared data acquisition efficiency and ensuring the accuracy of the temperature measurement result.
In order to achieve the purpose, the invention provides the following technical scheme:
on one hand, the method for automatically positioning the black body cursor is provided, and comprises the following steps:
moving the infrared module to enable the infrared module to pass through N acquisition sites, and acquiring black body images of a black body corresponding to the acquisition sites when the infrared module passes through the acquisition sites, so as to obtain N black body images, wherein N and N are positive integers, and N is more than or equal to N;
judging the blackbody temperature of each blackbody image target surface area, and performing negation operation on the target surface area when the blackbody temperature is lower than the ambient temperature;
determining and marking a connected region in the black body target surface region of each black body image, and taking all the rest regions as backgrounds and juxtaposing 0;
performing accumulation operation on the blackbody image obtained after the connected region marking processing to obtain an accumulated blackbody image ISUM；
For the accumulated black body image ISUMPerforming automatic threshold segmentation, and converting into binary image IBW；
For binary image IBWCarrying out corrosion operation to make the target prospect smaller and obtain a corroded image Ierode；
Black body image I after the accumulationSUMDetermining the position of a pixel point with the maximum gray value in the Mask area, wherein the position of the pixel point with the maximum gray value is the cursor position of the black body and outputting the cursor position; wherein the Mask region is an etched image IerodeAnd the area is formed by the pixels with the middle pixel value of 1.
Preferably, the automatic threshold segmentation can be realized by one or more of an Otsu method and a fixed threshold method.
Preferably, the black body cursor automatic positioning method further includes: and when the position of the pixel point with the maximum gray value is determined as the cursor position of the black body and output, configuring the cursor position of the black body into the target surface area of each black body image in a visible mode.
Preferably, the visible form comprises a cross cursor.
Also provided is a black body cursor automatic positioning device for implementing the method, which comprises:
the temperature judging unit is used for comparing the blackbody temperature of each blackbody image target surface area acquired by the infrared module with the ambient temperature and outputting a comparison result;
the negation unit is connected with the temperature judgment unit and is used for performing negation operation on the blackbody image when the comparison result shows that the blackbody temperature of the target surface area of the blackbody image is lower than the ambient temperature;
the connected region marking unit is used for determining and marking a connected region in the blackbody target surface region of each blackbody image, and all the remaining regions are used as backgrounds and are juxtaposed 0 to obtain a plurality of blackbody images marked by the connected regions;
an image processing unit for performing accumulation operation on the blackbody image marked by the connected region to obtain an accumulated blackbody image ISUMAnd for the black body image I after accumulationSUMPerforming automatic threshold segmentation, and converting into binary image IBW(ii) a And a binary image IBWCarrying out etching operation to obtain an etched image Ierode；
A cursor positioning unit connected with the image processing unit and used for accumulating the blackbody image ISUMDetermining the position of a pixel point with the maximum gray value in the Mask area, wherein the position of the pixel point with the maximum gray value is the cursor position of the black body and outputting the cursor position; wherein the Mask region is an etched image IerodeAnd the area is formed by the pixels with the middle pixel value of 1.
Preferably, the cursor positioning unit is also used for configuring the black body cursor position into the target surface area of each black body image in a visible mode.
Preferably, the black body cursor automatic positioning device further comprises: the mobile device is connected with the infrared module and used for driving the infrared module to pass through a plurality of acquisition points, so that the infrared module acquires black body images of black bodies corresponding to the acquisition points when passing through the acquisition points.
Compared with the prior art, the invention has the following beneficial effects:
the method can automatically and accurately determine the cursor position in the black body image at different data acquisition point positions of the infrared module, thereby obviously reducing the time of single data acquisition without manual repeated adjustment, greatly improving the infrared data acquisition efficiency and ensuring the accuracy of temperature measurement results.
Drawings
FIG. 1 is a flow chart of the steps of the automatic positioning method for black body cursor of the present invention;
FIG. 2 is a blackbody image after the inversion operation in the present invention;
FIG. 3 is a blackbody image marked with connected regions in accordance with the present invention;
FIG. 4 is a blackbody image obtained by accumulating blackbody images marked by connected regions according to the present invention;
FIG. 5 is a binary image obtained by performing automatic threshold segmentation on the accumulated blackbody image according to the present invention;
FIG. 6 is a blackbody image after the invention has configured a cursor to each blackbody image;
FIG. 7 is a temperature measurement curve fitted by the present invention;
fig. 8 is a schematic structural diagram of the black body cursor automatic positioning device of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
the embodiment provides an automatic black body cursor positioning method, as shown in fig. 1, which includes the following steps:
installing an infrared module, arranging a plurality of acquisition sites, and correspondingly arranging a black body at each acquisition site;
moving the infrared module to make it pass through N acquisition sites, and acquiring black corresponding to the black body of the acquisition site when the infrared module passes through the acquisition siteVolume image, thereby obtaining n black body images, respectively denoted as I1、I2...InWherein N and N are positive integers, and N is more than or equal to N; in this embodiment, n is 5, and 5 black body images are respectively denoted as I1、I2、I3、I4、I5；
Judging the blackbody temperature of each blackbody image target surface area S, and performing negation operation on the target surface area S when the blackbody temperature is lower than the ambient temperature; otherwise, not carrying out negation operation; the inversion operation mode is shown as formula (1):
Idst＝255-Isrc (1)；
wherein, IdstIs a target image, IsrcIs an original image;
as shown in fig. 2, after the negation operation, it is ensured that the blackbody target surface region S is always a highlight region in the image;
as shown in fig. 3, a connected region S' in the blackbody target surface region S of each blackbody image (the blackbody image may be a blackbody image subjected to an inversion operation/non-inversion operation) is determined and marked, the remaining regions are all used as backgrounds and are juxtaposed 0, and the blackbody images obtained after the connected regions are marked are respectively marked as I1’、I2’...In’(ii) a The Connected Component refers to an image area (Region, Blob) composed of foreground pixels with the same pixel value and adjacent positions in the image, and the Connected area mark refers to a Connected area determined in the image and a mark number; irrelevant pixel points in the blackbody target surface area S can be further eliminated through the determination of the connected area S', so that the subsequent cursor positioning range is more accurate;
marking the black body image I obtained after the connected region1’、I2’...In’Performing accumulation operation to obtain the accumulated black body image ISUM(ii) a The accumulation operation is shown in equation (2):
ISUM＝I1’+I2’+...+In’ (2)；
FIG. 4 shows that in the present embodiment, there are 5 warpsBlack body image I obtained after connected region marking processing1’、I2’、I3’、I4’、I5’Black body image I obtained after accumulationSUM；
For the accumulated black body image ISUMAutomatic threshold segmentation is carried out and converted into a binary image I as shown in FIG. 5BW(ii) a The automatic threshold segmentation may be implemented by one or more of algorithms such as Otsu method (i.e., variance method between maximum classes), fixed threshold method, and the like, and in this embodiment, the method specifically includes the following steps according to the Otsu algorithm:
1) recording t as a segmentation threshold of the foreground and the background, wherein the number of foreground points accounts for w0 of the image proportion, and the average gray level is u 0; the number of background points accounts for w1 of the image proportion, and the average gray scale is u 1;
2) calculating the total average gray level u of the image, wherein u is w0 u0+ w1 u 1;
3) the variance g of the foreground and background images is calculated, and
g＝w0*(u0-u)*(u0-u)+w1*(u1-u)*(u1-u)＝w0*w1*(u0-u1)*(u0-u1)；
4) iterating according to a preset condition, and when the variance g is maximum, considering that the difference between the foreground and the background is maximum at the moment, and finishing the binary image I at the momentBWThe transformation of (3);
for binary image IBWCarrying out corrosion operation to make the target prospect smaller and obtain a corroded image Ierode；
Black body image I after the accumulationSUMThe Mask region of (1) determining the position of the pixel point with the maximum gray value, wherein the position of the pixel point with the maximum gray value is the cursor position of the black body and outputting the cursor position, and meanwhile, as shown in fig. 6, configuring the cursor position of the black body to each black body image I acquired by the infrared module in a visible form (such as a cross cursor)1、I2...InThereby realizing the automatic positioning of the position of the black body cursor; wherein the Mask region is an etched image IerodeThe area formed by the pixel points with the middle pixel value of 1;
the cursor position (e.g., AD value, etc.) of each black body and the black body temperature of each black body are fitted to a temperature measurement curve as shown in fig. 7 according to an algorithm such as the least square method.
Therefore, the method in the embodiment can automatically and accurately determine the cursor position in the black body image, so that the time of single data acquisition can be obviously reduced, manual repeated adjustment is not needed, the acquisition efficiency of infrared data can be greatly improved, and the cursor position is located in the target surface area of the black body, so that the accuracy of the temperature measurement result can be ensured.
Example 2:
this embodiment provides a black body cursor automatic positioning device for implementing the method described in embodiment 1, as shown in fig. 8, including:
the mobile equipment 1 is connected with the infrared module and used for driving the infrared module to pass through a plurality of acquisition points, so that the infrared module acquires black body images of black bodies corresponding to the acquisition points when passing through the acquisition points to obtain a plurality of black body images I1、I2...InN is a positive integer;
the temperature judging unit 2 is used for comparing the blackbody temperature of each blackbody image target surface area with the ambient temperature and outputting a comparison result;
the negation unit 3 is connected with the temperature judgment unit 2 and is used for performing negation operation on the blackbody image when the comparison result shows that the blackbody temperature of a certain blackbody image target surface area is lower than the ambient temperature;
a connected region marking unit 4 for determining and marking a connected region in the blackbody target region of each blackbody image (the blackbody image may be a blackbody image subjected to an inversion operation/non-inversion operation), and all the remaining regions are juxtaposed 0 as a background to obtain blackbody images marked by a plurality of connected regions and marked as I1’、I2’...In’；
An image processing unit 5 for marking the black body image I with the connected region1’、I2’...In’Performing accumulation operation to obtain the accumulated black body image ISUMAnd for the black body image I after accumulationSUMPerforming automatic threshold segmentation, and converting into binary image IBW(ii) a And a binary mapIBWCarrying out etching operation to obtain an etched image Ierode；
A cursor positioning unit 6 connected to the image processing unit 5 for displaying the black body image I after the accumulationSUMDetermining the position of the pixel point with the maximum gray value in the Mask area, wherein the position of the pixel point with the maximum gray value is the cursor position of the black body and outputting the cursor position of the black body, and configuring the cursor position of the black body to each black body image I acquired by the infrared module in a visible form (such as a cross cursor)1、I2...InIn the target surface area S; wherein the Mask region is an etched image IerodeThe area formed by the pixel points with the middle pixel value of 1;
and a curve generating unit 7 for fitting the cursor position of each black body and the black body temperature of each black body into a temperature measurement curve according to an algorithm such as a least square method.
The methods of negation operation, connected region labeling, image accumulation, automatic threshold segmentation, etc. are the same as those in embodiment 1, and are not described here.
In conclusion, the cursor position in the black body image can be automatically and accurately determined at different data acquisition points of the infrared module, so that the time for single data acquisition can be remarkably shortened, manual repeated adjustment is not needed, the infrared data acquisition efficiency can be greatly improved, and the cursor positions are all positioned in the target surface area of the black body, so that the accuracy of a temperature measurement result can be ensured.
It should be noted that the technical features of the above embodiments 1 to 2 can be arbitrarily combined, and the technical solutions obtained by combining the technical features belong to the scope of the present application. And in this document, terms such as "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A black body cursor automatic positioning method is characterized by comprising the following steps:
moving the infrared module to enable the infrared module to pass through N acquisition sites, and acquiring black body images of a black body corresponding to the acquisition sites when the infrared module passes through the acquisition sites, so as to obtain N black body images, wherein N and N are positive integers, and N is more than or equal to N;
judging the blackbody temperature of each blackbody image target surface area, and performing negation operation on the target surface area when the blackbody temperature is lower than the ambient temperature;
determining and marking a connected region in the black body target surface region of each black body image, and taking all the rest regions as backgrounds and juxtaposing 0;
performing accumulation operation on the blackbody image obtained after the connected region marking processing to obtain an accumulated blackbody image ISUM；
For the accumulated black body image ISUMPerforming automatic threshold segmentation, and converting into binary image IBW；
For binary image IBWCarrying out corrosion operation to make the target prospect smaller and obtain a corroded image Ierode；
Black body image I after the accumulationSUMDetermining the position of a pixel point with the maximum gray value in the Mask area, wherein the position of the pixel point with the maximum gray value is the cursor position of the black body and outputting the cursor position; wherein the Mask region is an etched image IerodeAnd the area is formed by the pixels with the middle pixel value of 1.
2. The method of claim 1, wherein automatic thresholding is performed by one or more of Otsu's, fixed thresholding.
3. The method of claim 1, wherein the black body cursor automatic positioning method further comprises: and when the position of the pixel point with the maximum gray value is determined as the cursor position of the black body and output, configuring the cursor position of the black body into the target surface area of each black body image in a visible mode.
4. The method of claim 3, wherein the visible form comprises a cross cursor.
5. An automatic black body cursor positioning device for implementing the method of any one of claims 1-4, comprising:
the temperature judging unit is used for comparing the blackbody temperature of each blackbody image target surface area acquired by the infrared module with the ambient temperature and outputting a comparison result;
the negation unit is connected with the temperature judgment unit and is used for performing negation operation on the blackbody image when the comparison result shows that the blackbody temperature of the target surface area of the blackbody image is lower than the ambient temperature;
the connected region marking unit is used for determining and marking a connected region in the blackbody target surface region of each blackbody image, and all the remaining regions are used as backgrounds and are juxtaposed 0 to obtain a plurality of blackbody images marked by the connected regions;
an image processing unit for performing accumulation operation on the blackbody image marked by the connected region to obtain an accumulated blackbody image ISUMAnd for the black body image I after accumulationSUMPerforming automatic threshold segmentation, and converting into binary image IBW(ii) a And a binary image IBWCarrying out etching operation to obtain an etched image Ierode；
A cursor positioning unit connected with the image processing unit and used for accumulating the blackbody image ISUMDetermining gray in Mask region ofThe position of the pixel point with the maximum gray value is the cursor position of the black body and is output; wherein the Mask region is an etched image IerodeAnd the area is formed by the pixels with the middle pixel value of 1.
6. The apparatus of claim 5, wherein the cursor positioning unit is further configured to visually configure a black body cursor position into a target surface area of each black body image.
7. The apparatus of claim 5, wherein the black body cursor automatic positioning means further comprises: the mobile device is connected with the infrared module and used for driving the infrared module to pass through a plurality of acquisition points, so that the infrared module acquires black body images of black bodies corresponding to the acquisition points when passing through the acquisition points.
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