阅读说明：本技术 红外图像处理方法、处理设备、无人飞行器和存储介质 (Infrared image processing method, processing device, unmanned aerial vehicle and storage medium ) 是由 张青涛 庹伟 王黎 于 2020-03-11 设计创作，主要内容包括：一种红外图像处理方法、处理设备、无人飞行器和存储介质。其中,红外图像处理方法,包括：在第一拍摄模式下采集待测对象的第一红外图像,以及在第二拍摄模式下采集待测对象的第二红外图像,其中第一拍摄模式的图像增益大于第二拍摄模式的图像增益(102)；将第一红外图像和第二红外图像进行图像融合,生成第三红外图像(104)。该方法将第一红外图像和第二红外图像融合,生成高动态范围的第三红外图像,能够同时满足图像高测温范围和高测温精度的需求,使得得到的高动态范围图像能够直接用于测温。(An infrared image processing method, a processing device, an unmanned aerial vehicle, and a storage medium. The infrared image processing method comprises the following steps: acquiring a first infrared image of an object to be detected in a first shooting mode and acquiring a second infrared image of the object to be detected in a second shooting mode, wherein the image gain of the first shooting mode is greater than that of the second shooting mode (102); and carrying out image fusion on the first infrared image and the second infrared image to generate a third infrared image (104). According to the method, the first infrared image and the second infrared image are fused to generate the third infrared image with a high dynamic range, the requirements of the high temperature measurement range and the high temperature measurement precision of the images can be met simultaneously, and the obtained high dynamic range image can be directly used for temperature measurement.)

An infrared image processing method is characterized by comprising the following steps:

acquiring a first infrared image of an object to be detected in a first shooting mode, and acquiring a second infrared image of the object to be detected in a second shooting mode, wherein the image gain of the first shooting mode is greater than that of the second shooting mode;

and carrying out image fusion on the first infrared image and the second infrared image to generate a third infrared image.

The infrared image processing method as set forth in claim 1,

the image gain of the first shooting mode is larger than that of the second shooting mode, namely the temperature measurement range of the first shooting mode is smaller than or equal to that of the second shooting mode, and the temperature measurement precision of the first shooting mode is larger than or equal to that of the second shooting mode.

The infrared image processing method according to claim 2,

the temperature measurement range of the first shooting mode is a subset of the temperature measurement range of the second shooting mode.

The infrared image processing method as set forth in claim 1, further comprising:

performing a specified process on the third infrared image,

wherein the specifying process comprises one or a combination of the following: global stretching enhancement processing, local stretching enhancement processing, detail enhancement processing and pseudo-color mapping processing.

The infrared image processing method according to any one of claims 1 to 4, wherein the step of performing image fusion on the first infrared image and the second infrared image to generate a third infrared image specifically includes:

performing image fusion on the pixel points of the first infrared image according to a first fusion weight and the pixel points of the second infrared image according to a second fusion weight to generate a third infrared image; or

And carrying out image fusion on the specified area of the first infrared image according to a third fusion weight and the specified area of the second infrared image according to a fourth fusion weight to generate a third infrared image.

The infrared image processing method as set forth in claim 5,

the sum of the first and second blending weights is 1; or

The sum of the third and fourth blending weights is 1.

The infrared image processing method as set forth in claim 5,

the first fusion weights of the pixel points of the first infrared image are the same, and the second fusion weights of the pixel points of the second infrared image are the same.

The infrared image processing method as set forth in claim 7, further comprising:

and setting the first fusion weight and the second fusion weight according to the ratio relation of the image gain of the first shooting mode and the image gain of the second shooting mode.

The infrared image processing method as set forth in claim 7, further comprising:

and setting the first fusion weight and the second fusion weight according to the relative relation between the temperature measurement range of the first shooting mode and the temperature measurement range of the second shooting mode.

The infrared image processing method as set forth in claim 7, further comprising:

receiving a temperature measuring range required by a user;

and setting the first fusion weight and the second fusion weight according to the temperature measurement range required by the user.

The infrared image processing method as set forth in claim 5,

the first fusion weights of the pixel points of the first infrared image are not completely the same, and the second fusion weights of the pixel points of the second infrared image are not completely the same.

The infrared image processing method as set forth in claim 11, further comprising:

setting the first fusion weight and the second fusion weight according to image pixel point information,

wherein, the image pixel point information includes one or a combination of the following: pixel texture, pixel signal-to-noise ratio, pixel information content and pixel temperature value.

The infrared image processing method as set forth in claim 5,

the third fusion weights of the pixel points in the same designated area of the first infrared image are the same, and the fourth fusion weights of the pixel points in the same designated area of the second infrared image are the same.

The infrared image processing method as set forth in claim 13, further comprising:

setting the third fusion weight and the fourth fusion weight according to specified region information,

wherein the designated area information includes one or a combination of the following: the information content of the regional pixel points, the change range of the regional temperature, the gradient value of the change of the regional temperature and the signal to noise ratio of the regional area.

The infrared image processing method according to any one of claims 1 to 4, further comprising, before the step of performing image fusion on the first infrared image and the second infrared image to generate a third infrared image:

performing image pre-processing on the first infrared image and the second infrared image,

wherein the image pre-processing comprises one or a combination of the following: image rectification, dead pixel removal and noise removal.

An infrared image processing apparatus characterized by comprising:

the infrared image acquisition device is used for acquiring a first infrared image of an object to be detected in a first shooting mode and acquiring a second infrared image of the object to be detected in a second shooting mode, wherein the image gain of the first shooting mode is greater than that of the second shooting mode;

a memory storing a computer program;

the processor is connected with the infrared image acquisition device and the memory, and when the processor executes the computer program, the processor realizes that:

and carrying out image fusion on the first infrared image and the second infrared image to generate a third infrared image.

The infrared image processing apparatus according to claim 16,

the image gain of the first shooting mode is larger than that of the second shooting mode, namely the temperature measurement range of the first shooting mode is smaller than or equal to that of the second shooting mode, and the temperature measurement precision of the first shooting mode is larger than or equal to that of the second shooting mode.

The infrared image processing apparatus as set forth in claim 17,

the temperature measurement range of the first shooting mode is a subset of the temperature measurement range of the second shooting mode.

The infrared image processing apparatus as claimed in claim 16, wherein the processor, when executing the computer program, further implements:

performing a specified process on the third infrared image,

wherein the specifying process comprises one or a combination of the following: global stretching enhancement processing, local stretching enhancement processing, detail enhancement processing and pseudo-color mapping processing.

The infrared image processing device according to any one of claims 16 to 19, wherein the processor performs image fusion on the first infrared image and the second infrared image to generate a third infrared image, and specifically includes:

performing image fusion on the pixel points of the first infrared image according to a first fusion weight and the pixel points of the second infrared image according to a second fusion weight to generate a third infrared image; or

And carrying out image fusion on the specified area of the first infrared image according to a third fusion weight and the specified area of the second infrared image according to a fourth fusion weight to generate a third infrared image.

The infrared image processing apparatus as set forth in claim 20,

the sum of the first and second blending weights is 1; or

The sum of the third and fourth blending weights is 1.

The infrared image processing apparatus as set forth in claim 20,

the first fusion weights of the pixel points of the first infrared image are the same, and the second fusion weights of the pixel points of the second infrared image are the same.

The infrared image processing apparatus as recited in claim 22, wherein said processor when executing said computer program further implements:

and setting the first fusion weight and the second fusion weight according to the ratio relation of the image gain of the first shooting mode and the image gain of the second shooting mode.

The infrared image processing apparatus as recited in claim 22, wherein said processor when executing said computer program further implements:

and setting the first fusion weight and the second fusion weight according to the relative relation between the temperature measurement range of the first shooting mode and the temperature measurement range of the second shooting mode.

The infrared image processing apparatus as recited in claim 22, wherein said processor when executing said computer program further implements:

receiving a temperature measuring range required by a user;

and setting the first fusion weight and the second fusion weight according to the temperature measurement range required by the user.

The infrared image processing apparatus as set forth in claim 20,

the first fusion weights of the pixel points of the first infrared image are not completely the same, and the second fusion weights of the pixel points of the second infrared image are not completely the same.

The infrared image processing apparatus as recited in claim 26, wherein the processor, when executing the computer program, further implements:

setting the first fusion weight and the second fusion weight according to image pixel point information,

wherein, the image pixel point information includes one or a combination of the following: pixel texture, pixel signal-to-noise ratio, pixel information content and pixel temperature value.

The infrared image processing apparatus as set forth in claim 20,

the third fusion weights of the pixel points in the same designated area of the first infrared image are the same, and the fourth fusion weights of the pixel points in the same designated area of the second infrared image are the same.

The infrared image processing apparatus as recited in claim 28, wherein said processor, when executing said computer program, further implements:

setting the third fusion weight and the fourth fusion weight according to specified region information,

wherein the designated area information includes one or a combination of the following: the information content of the regional pixel points, the change range of the regional temperature, the gradient value of the change of the regional temperature and the signal to noise ratio of the regional area.

The infrared image processing device as recited in any of claims 16 to 19, wherein the processor, when executing the computer program, further implements:

performing image pre-processing on the first infrared image and the second infrared image,

wherein the image pre-processing comprises one or a combination of the following: image rectification, dead pixel removal and noise removal.

An unmanned aerial vehicle, comprising:

a body;

an infrared image processing apparatus, the infrared image processing apparatus comprising:

the infrared image acquisition device is used for acquiring a first infrared image of an object to be detected in a first shooting mode and acquiring a second infrared image of the object to be detected in a second shooting mode, wherein the image gain of the first shooting mode is greater than that of the second shooting mode;

a memory storing a computer program;

the processor is connected with the infrared image acquisition device and the memory, and when the processor executes the computer program, the processor realizes that:

and carrying out image fusion on the first infrared image and the second infrared image to generate a third infrared image.

The UAV according to claim 31,

the image gain of the first shooting mode is larger than that of the second shooting mode, namely the temperature measurement range of the first shooting mode is smaller than or equal to that of the second shooting mode, and the temperature measurement precision of the first shooting mode is larger than or equal to that of the second shooting mode.

The UAV according to claim 32,

the temperature measurement range of the first shooting mode is a subset of the temperature measurement range of the second shooting mode.

The UAV of claim 31 wherein the processor, when executing the computer program, further implements:

performing a specified process on the third infrared image,

wherein the specifying process comprises one or a combination of the following: global stretching enhancement processing, local stretching enhancement processing, detail enhancement processing and pseudo-color mapping processing.

The UAV according to any one of claims 31 to 34, wherein the processor performs image fusion of the first IR image and the second IR image to generate a third IR image, comprising:

performing image fusion on the pixel points of the first infrared image according to a first fusion weight and the pixel points of the second infrared image according to a second fusion weight to generate a third infrared image; or

And carrying out image fusion on the specified area of the first infrared image according to a third fusion weight and the specified area of the second infrared image according to a fourth fusion weight to generate a third infrared image.

The UAV according to claim 35,

the sum of the first and second blending weights is 1; or

The sum of the third and fourth blending weights is 1.

The UAV according to claim 35,

the first fusion weights of the pixel points of the first infrared image are the same, and the second fusion weights of the pixel points of the second infrared image are the same.

The UAV of claim 37 wherein the processor, when executing the computer program, further implements:

and setting the first fusion weight and the second fusion weight according to the ratio relation of the image gain of the first shooting mode and the image gain of the second shooting mode.

The UAV of claim 37 wherein the processor, when executing the computer program, further implements:

and setting the first fusion weight and the second fusion weight according to the relative relation between the temperature measurement range of the first shooting mode and the temperature measurement range of the second shooting mode.

The UAV of claim 37 wherein the processor, when executing the computer program, further implements:

receiving a temperature measuring range required by a user;

and setting the first fusion weight and the second fusion weight according to the temperature measurement range required by the user.

The UAV according to claim 35,

the first fusion weights of the pixel points of the first infrared image are not completely the same, and the second fusion weights of the pixel points of the second infrared image are not completely the same.

The UAV of claim 41 wherein the processor, when executing the computer program, further implements:

setting the first fusion weight and the second fusion weight according to image pixel point information,

wherein, the image pixel point information includes one or a combination of the following: pixel texture, pixel signal-to-noise ratio, pixel information content and pixel temperature value.

The UAV according to claim 35,

the third fusion weights of the pixel points in the same designated area of the first infrared image are the same, and the fourth fusion weights of the pixel points in the same designated area of the second infrared image are the same.

The UAV of claim 43 wherein the processor, when executing the computer program, further implements:

setting the third fusion weight and the fourth fusion weight according to specified region information,

wherein the designated area information includes one or a combination of the following: the information content of the regional pixel points, the change range of the regional temperature, the gradient value of the change of the regional temperature and the signal to noise ratio of the regional area.

The UAV according to any one of claims 31 to 34 wherein the processor when executing the computer program further effects:

performing image pre-processing on the first infrared image and the second infrared image,

wherein the image pre-processing comprises one or a combination of the following: image rectification, dead pixel removal and noise removal.

A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the infrared image processing method of any one of claims 1 to 15.