System and method using a histogram and colorspaces to create a matrix barcode
Techniques to improve detection and security of images, including formation and detection of matrix-based images. A histogram may be used to determine a most prevalent plurality of colors associated with an environment. A related plurality of colors may be determined based on the most prevalent plurality of colors. A matrix barcode may be generated based on the related plurality of colors.
1. A computer-implemented method, comprising:
accessing, by a processor, a histogram of an environment generated based on one or more images of the environment;
determining, by the processor, a most prevalent color of a plurality of prevalent colors associated with the environment based on the histogram such that the most prevalent color and the plurality of prevalent colors are mapped according to a red-green-blue (RGB) colorspace;
converting, by the processor, the RGB colorspace to another colorspace;
determining, by the processor based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and
generating, by the processor, a matrix barcode using the related plurality of colors.
2. The computer-implemented method of claim 1 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors.
3. The computer-implemented method of claim 1 , further comprising:
generating the histogram of the environment based on the one or more images of the environment.
4. The computer-implemented method of claim 1 , wherein the another colorspace includes a luminance channel, the method further comprising:
removing the luminance channel from the another colorspace.
5. The computer-implemented method of claim 4 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace.
6. The computer-implemented method of claim 1 , wherein the matrix barcode is embedded with computer data, wherein the computer data is represented by a plurality of pixels associated with the related plurality of colors.
7. The computer-implemented method of claim 6 , wherein the plurality of pixels are associated with at least three color-channels forming the matrix barcode.
8. The computer-implemented method of claim 1 , wherein the matrix barcode is a fiducial marker for conveying spatial information.
9. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a processor, cause the processor to:
access a histogram of an environment generated based on one or more images of the environment;
determine a most prevalent color of a plurality of prevalent colors associated with the environment based on the histogram such that the most prevalent color and the plurality of prevalent colors are mapped according to a red-green-blue (RGB) colorspace;
convert the RGB colorspace to another colorspace;
determine, based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and
generate a matrix barcode using the related plurality of colors.
10. The computer-readable storage medium of claim 9 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors.
11. The computer-readable storage medium of claim 9 , wherein the instructions further cause the processor to:
generate the histogram of the environment based on the one or more images of the environment.
12. The computer-readable storage medium of claim 9 , wherein the another colorspace includes a luminance channel, wherein the instructions further cause the processor to:
remove the luminance channel from the another colorspace.
13. The computer-readable storage medium of claim 12 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace.
14. The computer-readable storage medium of claim 9 , wherein the matrix barcode is embedded with computer data, wherein the computer data is represented by a plurality of pixels associated with the related plurality of colors.
15. The computer-readable storage medium of claim 14 , wherein the plurality of pixels are associated with at least three color-channels form the matrix barcode.
16. A computing apparatus comprising:
a processor; and
a memory storing instructions that, when executed by the processor, cause the processor to:
access a histogram of an environment generated based on one or more images of the environment;
determine a most prevalent color of a plurality of prevalent colors associated with the environment based on the histogram such that the most prevalent color and the plurality of prevalent colors are mapped according to a red-green-blue (RGB) colorspace;
convert the RGB colorspace to another colorspace;
determine, based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and
generate a matrix barcode using the related plurality of colors.
17. The computing apparatus of claim 16 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors.
18. The computing apparatus of claim 16 , wherein the instructions further cause the processor to:
generate the histogram of the environment based on the one or more images of the environment.
19. The computing apparatus of claim 16 , wherein the another colorspace includes a luminance channel, wherein the instructions further cause the processor to:
remove the luminance channel from the another colorspace.
20. The computing apparatus of claim 19 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace.