CN109087304B - Thermal imaging module-based super-threshold region dividing method - Google Patents
Thermal imaging module-based super-threshold region dividing method Download PDFInfo
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- CN109087304B CN109087304B CN201810616192.7A CN201810616192A CN109087304B CN 109087304 B CN109087304 B CN 109087304B CN 201810616192 A CN201810616192 A CN 201810616192A CN 109087304 B CN109087304 B CN 109087304B
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- 238000001931 thermography Methods 0.000 title claims abstract description 12
- 238000000034 method Methods 0.000 title claims abstract description 10
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 230000004048 modification Effects 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
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Abstract
The invention discloses a method for dividing a super-threshold region based on a thermal imaging module. The method divides a specific area by setting image coordinates of the highest and lowest temperature values, gradually increases the range according to the proportion of 1:10, then reads the temperature value of each pixel point in the specific area, thereby judging the area range size of the temperature exceeding the threshold value, directly displays the adjusted result and the set content of a user on a screen after finding the area range of the temperature exceeding the threshold value, and visually displays the range exceeding the temperature threshold value, thereby being beneficial to the observation and processing of a background; meanwhile, a large amount of operations are saved, and partial robot performance is improved.
Description
Technical Field
The invention belongs to the technical field of robot vision, and particularly relates to a method for dividing a super-threshold region based on a thermal imaging module.
Background
Data acquired by a thermal imaging module carried by an existing robot are the highest temperature value and the lowest temperature value, and whether the temperature value exceeds a temperature threshold value is judged only by aiming at the temperature value of a certain pixel point, so that under the condition that the temperature exceeds the threshold value, only the temperature value of a certain point can be judged to exceed the range, and the temperature point range exceeding the threshold value cannot be judged; if the temperature of the whole image acquired by the thermal imaging module is judged, the calculation amount of the module can be greatly increased.
The invention content is as follows:
in order to overcome the defects of the prior art, the invention provides a partitioning method of a super-threshold region based on a thermal imaging module.
The technical scheme adopted by the invention for realizing the purpose is as follows:
a method for dividing a super-threshold area based on a thermal imaging module is characterized by comprising the following steps:
s1: acquiring the highest and lowest temperature values in real time, judging the limited area range, judging whether the highest and lowest temperature values in the image range exceed the threshold value, and if so, entering the step S2;
s2: if the temperature point exceeds the threshold, performing rectangular frame circling by taking the highest temperature point and the lowest temperature point as the centers according to the ratio of the image resolution ratio of 1:10, reading the temperature values of four sides of the rectangle, judging whether the temperature value ranges on the four sides exceed the threshold, and entering step S3 if the temperature points exceed the threshold;
s3: if the temperature value of the pixel point on one side of the four sides exceeds a threshold value, the side is continuously expanded outwards by a double range, and then the temperature value on the delineating side is continuously judged; if the temperature values of all pixel points on one side of the four sides do not exceed the threshold value, the side is inwardly reduced by one time, and then the temperature values on the edge of the circle are continuously judged;
s4: repeating the steps 2 and 3 until the temperature values of the pixel points on the four sides of the rectangle are all below the threshold value and the threshold value of the temperature is just framed to be in the area range;
s5: and calling the OSD to perform a four-side rectangular picture, delineating the area range, and simultaneously performing screenshot storage on the image.
The invention has the advantages that the infrared thermal imaging identification camera is utilized, the area range exceeding the temperature threshold can be more visually defined, and the observation and the processing of a background are facilitated; meanwhile, a large amount of operations are saved, and partial robot performance is improved.
Drawings
The drawings are only for purposes of illustrating and explaining the present invention and are not to be construed as limiting the scope of the present invention. Wherein:
FIG. 1 is a flowchart of a method for partitioning a super-threshold region based on a thermal imaging module according to the present invention.
Detailed Description
Example 1
A method for dividing a super-threshold area based on a thermal imaging module is characterized by comprising the following steps:
dividing the interested region by the image coordinates of the highest temperature value and the lowest temperature value, gradually increasing the range according to the proportion of 1:10, and then reading the temperature value of each pixel point in the interested region so as to judge the region range size of which the temperature exceeds the threshold value; after the area range with the temperature exceeding the threshold value is found, a polygonal frame is drawn through OSD for framing, and meanwhile, the screenshot is stored, so that the background query processing is facilitated.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and any simple modification, equivalent change and modification made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention without departing from the content of the present invention.
Claims (1)
1. A method for dividing a super-threshold region based on a thermal imaging module is characterized by comprising the following steps:
s1: acquiring the highest and lowest temperature values in real time, judging the limited area range, judging whether the highest and lowest temperature values in the image range exceed the threshold value, and if so, entering the step S2;
s2: if the temperature point exceeds the threshold, performing rectangular frame circling by taking the highest temperature point and the lowest temperature point as the centers according to the ratio of the image resolution ratio of 1:10, reading the temperature values of four sides of the rectangle, judging whether the temperature value ranges on the four sides exceed the threshold, and entering step S3 if the temperature points exceed the threshold;
s3: if the temperature value of the pixel point on one side of the four sides exceeds a threshold value, the side is continuously expanded outwards by a double range, and then the temperature value on the delineating side is continuously judged; if the temperature values of all pixel points on one side of the four sides do not exceed the threshold value, the side is inwardly reduced by one time, and then the temperature values on the edge of the circle are continuously judged;
s4: repeating the steps 2 and 3 until the temperature values of the pixel points on the four sides of the rectangle are all below the threshold value and the threshold value of the temperature is just framed to be in the area range;
s5: and calling the OSD to perform a four-side rectangular picture, delineating the area range, and simultaneously performing screenshot storage on the image.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810616192.7A CN109087304B (en) | 2018-06-15 | 2018-06-15 | Thermal imaging module-based super-threshold region dividing method |
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| CN201810616192.7A CN109087304B (en) | 2018-06-15 | 2018-06-15 | Thermal imaging module-based super-threshold region dividing method |
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| CN109087304A CN109087304A (en) | 2018-12-25 |
| CN109087304B true CN109087304B (en) | 2021-09-03 |
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| CN111343209B (en) * | 2020-05-21 | 2020-08-25 | 浙江双视红外科技股份有限公司 | Picture processing method with temperature information |
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| CN102565625B (en) * | 2011-05-25 | 2014-10-15 | 上海大学 | Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image |
| CN103268586B (en) * | 2013-04-27 | 2015-11-18 | 电子科技大学 | A kind of window fusion method based on diffusion theory |
| CN204270461U (en) * | 2014-10-28 | 2015-04-15 | 王翠萍 | A kind of infrared thermal imaging Hot spots detection alarm device |
| US10740898B2 (en) * | 2015-06-29 | 2020-08-11 | Quantum IR Technologies, LLC | Methods and systems for hotspot detection |
| CN105844240A (en) * | 2016-03-23 | 2016-08-10 | 深圳云天励飞技术有限公司 | Method and device for detecting human faces in infrared temperature measurement system |
| CN106197681A (en) * | 2016-08-02 | 2016-12-07 | 北京殷图网联科技股份有限公司 | High-tension switch cabinet temperature measurement on-line device, method and system |
| CN107341797A (en) * | 2017-07-03 | 2017-11-10 | 杭州远舟医疗科技有限公司 | Method for information display, device and electronic equipment |
| CN107767364B (en) * | 2017-09-12 | 2021-03-23 | 中国林业科学研究院林业研究所 | Method for accurately extracting temperature of tree canopy based on infrared thermal image |
| CN108088567A (en) * | 2017-09-14 | 2018-05-29 | 吕旭升 | Human body infrared thermal imagery processing method and system |
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