CN104346768A - Processing method for temperature calibration of infrared images - Google Patents
Processing method for temperature calibration of infrared images Download PDFInfo
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- CN104346768A CN104346768A CN201410518092.2A CN201410518092A CN104346768A CN 104346768 A CN104346768 A CN 104346768A CN 201410518092 A CN201410518092 A CN 201410518092A CN 104346768 A CN104346768 A CN 104346768A
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Abstract
The invention discloses a processing method for temperature calibration of infrared images. The processing method comprises the following steps: an upper-layer software transmits a coordinate of a point needing to be calibrated or a coordinate of an area needing to be calibrated to movement hardware; the upper-layer software issues an image-temperature calibration type; the hardware acquires coordinate information; a minimum rectangular frame internally tangential to the calibrated area is calculated; an image is acquired, and the image collection is transmitted according to a certain sequence; when the image sequence is transmitted to a rectangular area, marking information of a storage unit is read; if the marking information is 1, a pixel point is data needing to be calculated, and related data is obtained by carrying out related calculation according to the temperature calibration type; conversion calculation from gray scale to temperature is carried out; the transmission of one image is finished, and the temperature information of the related calibration area is reported to the upper-layer software by a certain communication mode to finish the temperature calibration. The processing method disclosed by the invention has the advantages that the defects exposed on temperature calibration of high-resolution images in the prior art are overcome, the software and the hardware are combined, and the temperature calibration of the infrared images is finished by interaction of a few amount of commands.
Description
Technical field
The present invention relates to Infrared Thermography Technology field, particularly relate to a kind of temperature calibration disposal route of infrared image.
Background technology
The temperature information of the target that infrared thermal imaging half-tone information inherently reacts, can calibrate the Temperature Distribution of target object easily to the Mapping and Converting of temperature by gray scale.Measure so thermal infrared imager is widely used in contactless target temperature profiles.
The infrared temperature of prior art is demarcated and is carried out on the main control processor of infra-red thermal imaging system, the method of usual employing pure software processes, first image primitive frame is transferred to main control processor to store, then from the picture frame stored, take out related pixel gray scale according to the position in the region that will identify to carry out computing and obtain temperature value, its shortcoming is:
1. according to the feature of infrared image, infrared image temperature calibration needs to use the original image without contrast strengthen, instead of is used as the picture frame of display, and needs are extra uses designated lane transmission; In addition for realizing the high precision of temperature calibration, need the high-bit width retaining gradation data, cause movement and main control processor volume of transmitted data greatly, interface is many;
2. extra original image Frame storage needs larger memory resource expense, and along with the increase of infrared eye resolution, sampling rate significantly increases, and volume of transmitted data is huge, and docking port speed and storage resources are all huge challenges; The time overhead processed again additionally by software reading two field picture is large, causes temperature calibration poor real,
For 16 gradation datas, the infrared eye of 320x240 resolution, data volume is 75Kx16, the sample frequency of frame frequency 60Hz is 5M, and resolution is to 640x480, and data volume is 300Kx16, the sampling rate of frame frequency 60Hz is increased to 20M, resolution is to 1024x768, and data volume is 768Kx16, and the sampling rate of frame frequency 60Hz is increased to 50M, to high definition rank, data volume is 2025Kx16, and the sampling rate of frame frequency 60Hz is increased to 130M
Along with the increase of detector resolution, while data volume increases, sampling rate also significantly improves, so disposal route traditional at present can only be applicable to the infrared image of low resolution, along with the development of technology, the processing power shortcoming of this method will highlight.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, one is provided to be calculated by temperature calibration preposition, increase hardware-accelerated processing unit in infrared image processing part, save primitive frame in the storage of main control processor and transmission, realize the method for real-time infrared image temperature calibration.
The object of the invention is to be achieved through the following technical solutions:
A kind of infrared image temperature calibration disposal route, it comprises the following steps:
S1: upper layer software (applications) will need the coordinate of calibration point or need the coordinate demarcating region to pass to movement hardware by certain communication mode;
S2: upper layer software (applications) issues image temperature calibration type, as single point temperature, zone leveling temperature, maximum temperature or minimum temperature;
S3: hardware obtains coordinate information;
S4: the minimum rectangle frame calculating this demarcation region of inscribe, offer internal storage, size can store this rectangle frame, and bit wide is 1, the position in the corresponding rectangle frame of each storage unit, will the point demarcated be needed to be labeled as 1, and other points are labeled as 0;
S5: obtain image, image acquisition presses certain sequence transmission, when image sequence is transferred to rectangular area, the label information of reading cells, if label information is 1, then this pixel is calculative data, carries out correlation computations obtain related data according to temperature calibration type;
S6: carry out gray scale and calculate to the conversion of temperature;
S7: piece image is transmitted, the temperature information in associated calibration region reports upper layer software (applications) to complete temperature calibration by certain communication mode.
When needing demarcation region to be regular domain in described step S1, coordinate only can transmit key coordinate point, reduces the data volume of transmission.
In described step S3, if desired demarcating region is regular figure, calculates all coordinate points needed in demarcation region by key point; If desired demarcating region is irregular figure, then need upper layer software (applications) to transfer all coordinate informations needing calibration point.
The invention has the beneficial effects as follows: instant invention overcomes the shortcoming that prior art exposes on high-definition picture temperature calibration, software and hardware combines, completed the temperature calibration of infrared image by a small amount of command interaction.Its distinguishing feature is as follows:
1. software and hardware combining, gives full play to the advantage of respective processing power,
2. do not need Frame storage, save hardware resource,
3. transmit data few, interface is simple, and communication efficiency is fast,
4. hardware process speed is fast, and real-time is high.
Accompanying drawing explanation
Fig. 1 is software flow block diagram of the present invention;
Fig. 2 be in software of the present invention each function to corresponding hardware module call and hardware module data trend.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail, but protection scope of the present invention is not limited to the following stated.
As shown in Figure 1, as system needs medial temperature and the maximum temperature of a demarcation irregular area, communication interface adopts USB (universal serial bus), and step is as follows:
1. upper layer software (applications) sends calibration zone field type by serial ports to bottom hardware, is irregular figure in this example;
2. upper layer software (applications) sends the coordinate data of irregular area, as (), (), (),
3. upper layer software (applications) sends temperature calibration type, is medial temperature in this example, maximum temperature point;
4. hardware system obtains relevant information (is area type in this example, coordinate key point, temperature calibration type), by hardware internal accelerate computation engine calculate can completely inscribe this demarcation region minimum rectangle as shown in Figure 2, the acquisition methods of minimum rectangle is:
1) the row minimum value row_min demarcating region coordinate points and maximal value row_max is found,
2) the row minimum value col_min demarcating region coordinate points and maximum c ol_max is found,
3) computing method of this example maximal value and minimum value adopt the method compared between two, as the method obtaining minimum and maximum row is:
The row-coordinate of first gauge point is designated as row_max and row_min, then from first gauge point coordinate,
If(cur_row > row_max)
row_max = cur_row
else
Row_max is constant
If(cur_row < row_min)
row_min = cur_row
else
Row_max is constant
The point of all needs marks has compared rear maximum row and minimum row is row_max and row_min.The acquisition methods of maximum column and minimum row is similar, and hardware adopts synchronous calculating, speed up processing.
4) coordinate at four angles of minimum rectangular area is (row_min, col_min), (row_min, col_max), (row_max, col_min), (row_max, col_max),
5) storage unit of rectangle frame size is offered in hardware inside, and storing bit wide is 1, and will the region demarcated be needed to arrange mark 1, other regions arrange 0;
5. when a new frame gray level image sampling starts, when data sampling is to the marking signal starting when row_min and col_min to read in storage area, do corresponding computing when marking signal is 1 to pixel data, need averaged and maximal value in this example, the method for averaged is:
Accumulative mark position is the gray-scale value sum_gray of 1, and adds up number sum_cnt, and at the end of (row_max, col_max) pixel, mean value is:
ave_gray = sum_gray/sum_cnt
Ask for maximal value to obtain mode and be:
Max_gray is labeled as to first pixel grey scale that zone bit is 1, then each zone bit of pixel sequence back be 1 grey scale pixel value (being labeled as cur_gray) all compare with max_gray,
If (cur_gray > max_gray)
max_gray = cur_gray
else
Max_gray is constant
At the end of (row_max, col_max) pixel, max_gray is the maximum pixel come out.
6., according to gray scale temperature transition formula t=f (gray), calculate average gray and temperature value ave_t and max_t corresponding to maximum gray scale;
7. by serial port, ave_t and max_t is returned to upper layer software (applications) in this example, complete the temperature calibration of appointed area.
Claims (3)
1. an infrared image temperature calibration disposal route, is characterized in that: it comprises the following steps:
S1: upper layer software (applications) will need the coordinate of calibration point or need the coordinate demarcating region to pass to movement hardware by certain communication mode;
S2: upper layer software (applications) issues image temperature calibration type, as single point temperature, zone leveling temperature, maximum temperature or minimum temperature;
S3: hardware obtains coordinate information;
S4: the minimum rectangle frame calculating this demarcation region of inscribe, offer internal storage, size can store this rectangle frame, and bit wide is 1, the position in the corresponding rectangle frame of each storage unit, will the point demarcated be needed to be labeled as 1, and other points are labeled as 0;
S5: obtain image, image acquisition presses certain sequence transmission, when image sequence is transferred to rectangular area, the label information of reading cells, if label information is 1, then this pixel is calculative data, carries out correlation computations obtain related data according to temperature calibration type;
S6: carry out gray scale and calculate to the conversion of temperature;
S7: piece image is transmitted, the temperature information in associated calibration region reports upper layer software (applications) to complete temperature calibration by certain communication mode.
2. a kind of infrared image temperature calibration disposal route according to claim 1, is characterized in that: when needing demarcation region to be regular domain in described step S1, and coordinate only can transmit key coordinate point, reduces the data volume of transmission.
3. a kind of infrared image temperature calibration disposal route according to claim 1, is characterized in that: in described step S3, and if desired demarcating region is regular figure, calculates all coordinate points needed in demarcation region by key point; If desired demarcating region is irregular figure, then need upper layer software (applications) to transfer all coordinate informations needing calibration point.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111639214A (en) * | 2020-05-31 | 2020-09-08 | 广西电网有限责任公司南宁供电局 | Method for improving storage efficiency of robot in dynamic infrared chart acquisition |
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| US20080317369A1 (en) * | 2007-06-20 | 2008-12-25 | Ahdoot Ned M | Digital video filter and image processing |
| CN102221937A (en) * | 2010-04-15 | 2011-10-19 | 上海天派无线科技有限公司 | Real-time video image coordinate recognition system and method |
| CN102567983A (en) * | 2010-12-26 | 2012-07-11 | 浙江大立科技股份有限公司 | Determining method for positions of monitored targets in instant infrared chart and application |
| CN102937816A (en) * | 2012-11-22 | 2013-02-20 | 四川华雁信息产业股份有限公司 | Method and device for calibrating preset position deviation of camera |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080317369A1 (en) * | 2007-06-20 | 2008-12-25 | Ahdoot Ned M | Digital video filter and image processing |
| CN102221937A (en) * | 2010-04-15 | 2011-10-19 | 上海天派无线科技有限公司 | Real-time video image coordinate recognition system and method |
| CN102567983A (en) * | 2010-12-26 | 2012-07-11 | 浙江大立科技股份有限公司 | Determining method for positions of monitored targets in instant infrared chart and application |
| CN102937816A (en) * | 2012-11-22 | 2013-02-20 | 四川华雁信息产业股份有限公司 | Method and device for calibrating preset position deviation of camera |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111639214A (en) * | 2020-05-31 | 2020-09-08 | 广西电网有限责任公司南宁供电局 | Method for improving storage efficiency of robot in dynamic infrared chart acquisition |
| CN111639214B (en) * | 2020-05-31 | 2023-05-02 | 广西电网有限责任公司南宁供电局 | Method for improving storage efficiency of robot during acquisition of dynamic infrared heat map |
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Denomination of invention: A temperature calibration method for infrared images Effective date of registration: 20220519 Granted publication date: 20170524 Pledgee: Bank of Chengdu science and technology branch of Limited by Share Ltd. Pledgor: CHENGDU JING LIN SCIENCE AND TECHNOLOGY Co.,Ltd. Registration number: Y2022980005939 |