Method and apparatus for correcting color convergence error, and device

1. A method for correcting a color convergence error, comprising:

in a darkroom environment, acquiring a projection image obtained by projecting a test pattern containing N white shape points by a projection system, wherein N is an integer greater than or equal to 2;

performing color separation on N shape image points on the projection image, to obtain N shape image points corresponding to R, G, and B color components respectively;

determining color coordinates corresponding to R, G, and B according to the N shape image points corresponding to R, G, and B color components respectively; and

adjusting an assembly parameter of the projection system according to the color coordinates corresponding to the R, G, and B, wherein the assembly parameter comprises a position of a RGB three-color light source in the projection system;

wherein the performing the color separation on the N shape image points on the projection image, to obtain the N shape image points corresponding to the R, G, and B color components respectively, comprises:

with regard to any shape image point in the N shape image points, performing gray-scale on the shape image point, to obtain a gray-scaled shape image point;

determining color value of each pixel point on the gray-scaled image point according to gray-scale value of the gray-scaled shape image point; and

dividing the each pixel into a corresponding color type according to the color value of each pixel and color value corresponding to the R, G, and B color components, to obtain shape image points corresponding to R, G, and B color components respectively.

2. The method according to claim 1 , wherein when the projection system is a projection system based on RGB three-color light source imaging, the adjusting the assembly parameter of the projection system according to the color coordinates corresponding to the R, G, and B comprises:

calculating a superposition deviation of the three color components of R, G, and B according to the color coordinates corresponding to the R, G, and B;

if the superposition deviation is greater than a set deviation threshold, adjusting a position of a RGB three-color light source in the projection system, to reduce the superposition deviation.

3. The method according to claim 2 , wherein the shape points contained in the test pattern comprise: solid geometric figure points or hollow geometric figure boxes.

4. The method according to claim 2 , wherein N=4, and the shape points contained in the test pattern are hollow rectangular boxes.

5. The method according to claim 1 , wherein the shape points contained in the test pattern comprise: solid geometric figure points or hollow geometric figure boxes.

6. The method according to claim 1 , wherein N=4, and the shape points contained in the test pattern are hollow rectangular boxes.

7. The method according to claim 1 , wherein the shape points contained in the test pattern comprise: solid geometric figure points or hollow geometric figure boxes.

8. The method according to claim 1 , wherein N=4, and the shape points contained in the test pattern are hollow rectangular boxes.

9. An apparatus for correcting a color convergence error comprising:

a memory storing instructions; and

a processor configured to execute the instructions to:

in a darkroom environment, acquire a projection image obtained by projecting a test pattern containing N white shape points by a projection system, wherein N is an integer greater than or equal to 2;

perform color separation on N shape image points on the projection image, to obtain N shape image points corresponding to R, G, and B color components respectively;

determine color coordinates corresponding to R, G, and B according to the N shape image points corresponding to R, G, and B color components respectively; and

adjust an assembly parameter of the projection system according to the color coordinates corresponding to the R, G, and B, wherein the assembly parameter comprises a position of a RGB three-color light source in the projection system;

wherein the apparatus is specifically configured to:

with regard to any shape image point in the N shape image points, perform gray-scale on the shape image point, to obtain a gray-scaled shape image point;

determine color value of each pixel point on the gray-scaled image point according to gray-scale value of the gray-scaled shape image point; and

divide the each pixel into a corresponding color type according to the color value of each pixel and color value corresponding to the R, G, and B color components, to obtain shape image points corresponding to R, G, and B color components respectively.

10. The apparatus according to claim 9 , wherein the apparatus is specifically configured to:

with regard to any color component in the R, G, and B color components, acquire respective a center-of-mass coordinate of the N shape image points corresponding to the color component; and

calculate the color coordinates corresponding to the color components according to respective center-of-mass coordinate of the N shape image points.

11. The apparatus according to claim 9 , wherein the shape points contained in the test pattern comprise: solid geometric figure points or hollow geometric figure boxes.

12. The apparatus according to claim 9 , wherein N=4, and the shape points contained in the test pattern are hollow rectangular boxes.

13. An electronic device, comprising: a memory and a processor;

wherein the memory is used to store at least one computer instruction;

the processor is used to execute the method according to claim 1 .