Pigment detection method and electronic device
A pigment detection method includes: extracting a first image from a to-be-detected RGB skin image, where the first image is used to represent a body reflection component in the RGB skin image, and the RGB skin image is photographed by a device having an RGB image photographing function; extracting a pigment from an R channel, a B channel, and a G channel of the first image based on a correspondence between a first spectral response curve of the pigment and a second spectral response curve of the device having the RGB image photographing function; and generating a pseudo-color image based on the extracted pigment, and displaying the pseudo-color image.
1. A pigment detection method, comprising:
extracting a first image from an RGB skin image, wherein the first image is used to represent a body reflection component in the RGB skin image, and the RGB skin image is photographed by a device having an RGB image photography function;
extracting a pigment from an R channel, a B channel, and a G channel of the first image by determining a function relationship between a first spectral response curve of the pigment and a second spectral response curve of photosensitive units in the device, and by determining a correspondence between the pigment and channel values of the R channel, G channel, and B channel;
generating a pseudo-color image based on the extracted pigment; and
displaying the pseudo-color image.
2. The method of claim 1 , wherein the method further comprises:
converting the RGB skin image into a first Lab image;
extracting a body reflection component from each of an L channel, an a channel, and a b channel of the first Lab image;
combining the body reflection components extracted from the L channel, the a channel, and the b channel of the first Lab image to obtain a second Lab image; and
converting the second Lab image into an RGB image to obtain the first image.
3. The method of claim 2 , wherein the body reflection component of the L channel of the first Lab image is a difference between an initial value of the L channel of the first Lab image and a surface reflection component of the L channel of the first Lab image; the body reflection component of the a channel of the first Lab image is a difference between an initial value of the a channel of the first Lab image and a surface reflection component of the a channel of the first Lab image; and the body reflection component of the b channel of the first Lab image is a difference between an initial value of the b channel of the first Lab image and a surface reflection component of the b channel of the first Lab image, wherein
the surface reflection components of the L channel, the a channel, and the b channel of the first Lab image are obtained by separately performing filtering processing on the initial values of the L channel, the a channel, and the b channel of the first Lab image.
4. The method of claim 3 , wherein the surface reflection components of the L channel, the a channel, and the b channel of the first Lab image are obtained by performing bilateral filtering processing on the initial values of the L channel, the a channel, and the b channel of the first Lab image.
5. The method of claim 1 , wherein the pigment comprises hemoglobin.
6. The method of claim 1 , wherein the pigment comprises melanin.
7. The method of claim 1 , wherein the pigment comprises carotene.
8. The method of claim 1 , wherein the pigment comprises lipochrome.
9. The method of claim 1 , wherein the pigment comprises bile pigment.
10. An electronic device, comprising:
a memory comprising instructions; and
a processor coupled to the memory, the instructions being executed by the processor to cause the electronic device to:
extract a first image from an RGB skin image, wherein the first image is used to represent a body reflection component in the RGB skin image, and the RGB skin image is photographed by a device having an RGB image photography function;
extract a pigment from an R channel, a B channel, and a G channel of the first image by determining a function relationship between a first spectral response curve of the pigment and a second spectral response curve of photosensitive units in the device, and by determining a correspondence between the pigment and channel values of the R channel, G channel, and B channel;
generate a pseudo-color image based on the extracted pigment; and
display the pseudo-color image.
11. The electronic device of claim 10 , wherein the instructions further cause the electronic device to:
convert the RGB skin image into a first Lab image;
extract a body reflection component from each of an L channel, an a channel, and a b channel of the first Lab image;
combine the body reflection components extracted from the L channel, the a channel, and the b channel of the first Lab image to obtain a second Lab image; and
convert the second Lab image into an RGB image to obtain the first image.
12. The electronic device of claim 11 , wherein the body reflection component of the L channel of the first Lab image is a difference between an initial value of the L channel of the first Lab image and a surface reflection component of the L channel of the first Lab image; the body reflection component of the a channel of the first Lab image is a difference between an initial value of the a channel of the first Lab image and a surface reflection component of the a channel of the first Lab image; and the body reflection component of the b channel of the first Lab image is a difference between an initial value of the b channel of the first Lab image and a surface reflection component of the b channel of the first Lab image.
13. The electronic device of claim 12 , wherein the surface reflection components of the L channel, the a channel, and the b channel of the first Lab image are obtained by separately performing filtering processing on the initial values of the L channel, the a channel, and the b channel of the first Lab image.
14. The electronic device of claim 12 , wherein the surface reflection components of the L channel, the a channel, and the b channel of the first Lab image are obtained by performing bilateral filtering processing on the initial values of the L channel, the a channel, and the b channel of the first Lab image.
15. A computer program product for detecting a pigment, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for:
extracting a first image from an RGB skin image, wherein the first image is used to represent a body reflection component in the RGB skin image, and the RGB skin image is photographed by a device having an RGB image photography function;
extracting a pigment from an R channel, a B channel, and a G channel of the first image by determining a function relationship between a first spectral response curve of the pigment and a second spectral response curve of photosensitive units in the device, and by determining a correspondence between the pigment and channel values of the R channel, G channel, and B channel;
generating a pseudo-color image based on the extracted pigment; and
displaying the pseudo-color image.
16. The computer program product of claim 15 , wherein the computer program product further comprises computer instructions for:
converting the RGB skin image into a first Lab image;
extracting a body reflection component from each of an L channel, an a channel, and a b channel of the first Lab image;
combining the body reflection components extracted from the L channel, the a channel, and the b channel of the first Lab image to obtain a second Lab image; and
converting the second Lab image into an RGB image to obtain the first image.
17. The computer program product of claim 16 , wherein the body reflection component of the L channel of the first Lab image is a difference between an initial value of the L channel of the first Lab image and a surface reflection component of the L channel of the first Lab image; the body reflection component of the a channel of the first Lab image is a difference between an initial value of the a channel of the first Lab image and a surface reflection component of the a channel of the first Lab image; and the body reflection component of the b channel of the first Lab image is a difference between an initial value of the b channel of the first Lab image and a surface reflection component of the b channel of the first Lab image.
18. The computer program product of claim 17 , wherein the surface reflection components of the L channel, the a channel, and the b channel of the first Lab image are obtained by separately performing filtering processing on the initial values of the L channel, the a channel, and the b channel of the first Lab image.
19. The computer program product of claim 17 , wherein the surface reflection components of the L channel, the a channel, and the b channel of the first Lab image are obtained by performing bilateral filtering processing on the initial values of the L channel, the a channel, and the b channel of the first Lab image.
20. The computer program product of claim 15 , wherein the pigment comprises hemoglobin.