CN112826456A - Method for improving extraction precision of abnormal body temperature information of thermal infrared image - Google Patents
Method for improving extraction precision of abnormal body temperature information of thermal infrared image Download PDFInfo
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- CN112826456A CN112826456A CN202011608318.XA CN202011608318A CN112826456A CN 112826456 A CN112826456 A CN 112826456A CN 202011608318 A CN202011608318 A CN 202011608318A CN 112826456 A CN112826456 A CN 112826456A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
Abstract
The invention belongs to the technical field of large-range crowd body temperature image processing in public places, and particularly relates to a method for improving the extraction precision of abnormal body temperature information of a thermal infrared image, which comprises the following steps: acquiring a thermal infrared image A of a crowd covering a large-range area by using a thermal infrared imager; step two: acquiring a thermal infrared image C of an interference-removed object only containing crowds; step three: performing statistical analysis on all pixel values in the thermal infrared image C only containing the crowd to obtain an average value D; step four: subtracting the average value D from all pixel values in the image C to obtain a result image F; step five: and (4) carrying out statistical analysis on the maximum value MAX and the minimum value MIN in all pixel values in the F image, and carrying out numerical comparison. The invention removes most of wave bands irrelevant to information extraction, reduces the interference of other substances or noise on the spectrum and improves the accuracy of information extraction.
Description
Technical Field
The invention belongs to the technical field of large-range crowd body temperature image processing in public places, and particularly relates to a method for improving the extraction precision of abnormal body temperature information of a thermal infrared image.
Background
The current novel coronary pneumonia epidemic situation is serious, and the detection demand for the thermal infrared body temperature is very large, especially in stations, passenger cars, carriages, schools, cinemas, supermarkets, hospitals, meetings, marts, playgrounds and other large-scale crowd intensive places. The thermal infrared body temperature monitoring is mainly used for entrance parts in various places, but the thermal infrared body temperature monitoring has larger error and small monitoring range at present, so how to increase the scanning area and range in the body temperature information extraction process and reduce the influence of other ground objects or noise so as to improve the speed and the precision of data processing, and the thermal infrared imaging body temperature monitoring technology becomes the direction which needs to be researched urgently.
Therefore, in order to overcome the defects in the prior art, a method for improving the extraction precision and the monitoring range of the abnormal body temperature information of the thermal infrared image needs to be designed so as to meet the requirement of the current novel coronary pneumonia epidemic situation on the rapid detection of the abnormal thermal infrared body temperature.
Disclosure of Invention
The invention aims to provide a method for improving the extraction precision of the abnormal body temperature information of a thermal infrared image, which is used for solving the technical problems that the data processing speed for extracting the abnormal body temperature information of the thermal infrared image in a large-range area is low, and the extraction precision of the abnormal body temperature information of the thermal infrared image is influenced by other ground objects or noise factors during the extraction process of the abnormal body temperature information in the prior art.
The technical scheme of the invention is as follows:
a method for improving the extraction precision of abnormal body temperature information of thermal infrared images comprises the following steps:
the method comprises the following steps: acquiring a thermal infrared image A of a crowd covering a large-range area by using a thermal infrared imager;
step two: acquiring a thermal infrared image C of an interference-removed object only containing crowds;
step three: performing statistical analysis on all pixel values in the thermal infrared image C only containing the crowd to obtain an average value D;
step four: subtracting the average value D from all pixel values in the image C to obtain a result image F;
step five: and (4) carrying out statistical analysis on the maximum value MAX and the minimum value MIN in all pixel values in the F image, and carrying out numerical comparison.
The second step further comprises: acquiring human shape range data parameters B of all people in the image according to human body shapes, cutting the thermal infrared image A by utilizing the numerical range of the human shape range data parameters B, resampling the image in each person range in the crowd into a pixel, and obtaining C of the thermal infrared image with the interference-removed ground object only containing the crowd.
The fifth step further comprises: maximum MAX and minimum MIN
If the maximum value MAX in all the pixel values in the F image and the minimum value MIN in all the pixel values in the F image are less than minus 0.2, the number of people with high temperature in the crowd is more;
if the maximum value MAX in all the pixel values in the F image and the minimum value MIN in all the pixel values in the F image are more than 0.3, the value is expressed as the abnormal body temperature of the human body at the pixel position of the maximum value MAX in all the pixel values in the F image, and corresponding protection or isolation measures need to be taken.
The invention has the beneficial technical effects that:
the invention designs a method for improving the extraction precision of the abnormal body temperature information of the thermal infrared image, which comprises the steps of resampling the thermal infrared image, extracting a specific range, carrying out a series of judgment and calculation, and calculating the positions of the abnormal body temperature values of different areas in the image range. Because most of wave bands irrelevant to information extraction are removed, the interference of other substances or noise on the spectrum of the information is reduced, and the accuracy of information extraction is improved. The method has pioneering effect and significance in quickly extracting temperature anomaly information in large-range crowds.
Detailed Description
The present invention will be described in further detail with reference to examples.
The invention discloses a method for improving the extraction precision of abnormal body temperature information of a thermal infrared image, which comprises the following steps of:
the method comprises the following steps: carrying an aerial platform such as an unmanned aerial vehicle or a ground high platform on the instrument, and acquiring a thermal infrared image A of people in a large-range area by using a thermal infrared imager (such as SC660, SC7300M and the like);
step two: acquiring a thermal infrared image C of an interference-removed object only containing crowds;
step three: performing statistical analysis on all pixel values in the thermal infrared image C only containing the crowd to obtain an average value D;
step four: subtracting the average value D from all pixel values in the image C to obtain a result image F;
step five: and (3) statistically analyzing the maximum value MAX and the minimum value MIN in all pixel values in the F image by using programming or static software of ENVI, and comparing numerical values.
The second step further comprises: acquiring human shape range data parameters B of all people in the image according to human body shapes, cutting the thermal infrared image A by utilizing the numerical range of the human shape range data parameters B, resampling the image in each person range in the crowd into a pixel, and obtaining C of the thermal infrared image with the interference-removed ground object only containing the crowd.
The fifth step further comprises: maximum MAX and minimum MIN
If the maximum value MAX in all the pixel values in the F image and the minimum value MIN in all the pixel values in the F image are less than minus 0.2, the number of people with high temperature in the crowd is more;
if the maximum value MAX in all the pixel values in the F image and the minimum value MIN in all the pixel values in the F image are more than 0.3, the value is expressed as the abnormal body temperature of the human body at the pixel position of the maximum value MAX in all the pixel values in the F image, and corresponding protection or isolation measures need to be taken.
The prior art aims at extracting single or a plurality of human body temperature information, and the technical invention fills the blank of the human body temperature abnormal information extraction technology in large-range areas at home and abroad.
While the embodiments of the present invention have been described in detail, the above embodiments are merely preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (3)
1. A method for improving the extraction precision of abnormal body temperature information of thermal infrared images is characterized by comprising the following steps:
the method comprises the following steps: acquiring a thermal infrared image A of a crowd covering a large-range area by using a thermal infrared imager;
step two: acquiring a thermal infrared image C of an interference-removed object only containing crowds;
step three: performing statistical analysis on all pixel values in the thermal infrared image C only containing the crowd to obtain an average value D;
step four: subtracting the average value D from all pixel values in the image C to obtain a result image F;
step five: and (4) carrying out statistical analysis on the maximum value MAX and the minimum value MIN in all pixel values in the F image, and carrying out numerical comparison.
2. The method for improving the accuracy of extracting the abnormal body temperature information of the thermal infrared image according to claim 1, wherein: the second step further comprises: acquiring human shape range data parameters B of all people in the image according to human body shapes, cutting the thermal infrared image A by utilizing the numerical range of the human shape range data parameters B, resampling the image in each person range in the crowd into a pixel, and obtaining C of the thermal infrared image with the interference-removed ground object only containing the crowd.
3. The method for improving the accuracy of extracting the abnormal body temperature information of the thermal infrared image according to claim 2, wherein: the fifth step further comprises: maximum MAX and minimum MIN
If the maximum value MAX in all the pixel values in the F image and the minimum value MIN in all the pixel values in the F image are less than minus 0.2, the number of people with high temperature in the crowd is more;
if the maximum value MAX in all the pixel values in the F image and the minimum value MIN in all the pixel values in the F image are more than 0.3, the value is expressed as the abnormal body temperature of the human body at the pixel position of the maximum value MAX in all the pixel values in the F image, and corresponding protection or isolation measures need to be taken.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017062125A (en) * | 2015-09-24 | 2017-03-30 | 株式会社Ｃｓソリューション | Body temperature measurement system for measuring body temperature of subject animal contactlessly |
| US20170248478A1 (en) * | 2016-02-26 | 2017-08-31 | Nelsen YEN | Apparatus and method for measuring body temperature of a human body |
| CN111242946A (en) * | 2020-03-03 | 2020-06-05 | 广州紫川电子科技有限公司 | Human body temperature anomaly detection method and device based on infrared thermal imaging |
| CN111609939A (en) * | 2020-06-16 | 2020-09-01 | 烟台艾睿光电科技有限公司 | Individual body temperature abnormity screening method, device and equipment |
| CN111772595A (en) * | 2020-07-13 | 2020-10-16 | 江苏中科智能制造研究院有限公司 | Group body temperature detection system and method |
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2020
- 2020-12-30 CN CN202011608318.XA patent/CN112826456A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017062125A (en) * | 2015-09-24 | 2017-03-30 | 株式会社Ｃｓソリューション | Body temperature measurement system for measuring body temperature of subject animal contactlessly |
| US20170248478A1 (en) * | 2016-02-26 | 2017-08-31 | Nelsen YEN | Apparatus and method for measuring body temperature of a human body |
| CN111242946A (en) * | 2020-03-03 | 2020-06-05 | 广州紫川电子科技有限公司 | Human body temperature anomaly detection method and device based on infrared thermal imaging |
| CN111609939A (en) * | 2020-06-16 | 2020-09-01 | 烟台艾睿光电科技有限公司 | Individual body temperature abnormity screening method, device and equipment |
| CN111772595A (en) * | 2020-07-13 | 2020-10-16 | 江苏中科智能制造研究院有限公司 | Group body temperature detection system and method |
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