Non-contact physiological parameter detection method, system and device
A non-contact technology for detection of physiological parameters, applied in the field of non-contact detection of physiological parameters, can solve problems such as inaccurate physiological parameters
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Embodiment 1
[0113] This embodiment provides a non-contact physiological parameter detection method, such as figure 1 shown, including the following steps:
[0114] S1: Obtain digital video of the video capture area.
[0115] S2: Perform the following processing on each frame of image in the digital video:
[0116] S21: Extract all facial images included in the frame image.
[0117] S22: Calculating the RGB three-color mean value of each face image respectively.
[0118] S3: Obtain an original three-color mean value matrix according to the RGB three-color mean values in each frame of image.
[0119] S4: Perform detrending processing, filtering processing, and normalization processing on the original three-color mean value matrix to obtain a preprocessed three-color mean value matrix.
[0120] S5: Extract physiological parameters from the preprocessed three-color mean matrix.
[0121] In the non-contact physiological parameter detection method described in this embodiment, the RGB th...
Embodiment 2
[0143] On the basis of Example 1, the non-contact physiological parameter detection method described in this example, such as figure 1 As shown, the step S21 specifically includes the following steps:
[0144] S211: Establish a color space coordinate system, each coordinate point in the color space coordinate system corresponds to each point in the coordinate system where the frame image is located; and perform image color space transformation on the frame image to obtain the frame image The YCrCb color space image under the color space coordinate system.
[0145] S212: Based on the relationship between the brightness value and the skin color value of each pixel in the YCrCb color space image, obtain rough coordinate areas where all facial images in the YCrCb color space image are located.
[0146] S213: According to the rough coordinate area, calculate and determine the reference position coordinates and effective area coordinates of each facial image in the YCrCb color space ...
Embodiment 3
[0162] On the basis of Embodiment 1 and Embodiment 2, the non-contact physiological parameter detection method described in this embodiment, such as figure 1 As shown, specifically carry out the following processing for each face image in the described step S22:
[0163] S221: Perform RGB three-color separation on the intercepted facial image, and obtain matrix I of each independent color component i , wherein i=1 or 2 or 3, and the number n of pixels in the width direction and the number m of pixels in the length direction of the facial image are acquired.
[0164] S222: Use the following formula to respectively obtain the mean value of the RGB three-color components of each facial image of the frame image after being enlarged by 1000 times:
[0165]
[0166] It can be seen from the formula that in the non-contact physiological parameter detection method described in this embodiment, in the process of calculating the mean value of the color components, the relevant parame...
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