Calculating conjunctival redness
The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes determining for each of a plurality of pixels within the evaluation area, a plurality of color components that are based on a Cartesian color space, and determining, from the color components, a hue value in a polar coordinate based color space. The method further includes determining a color value based on the hue value for each of the plurality of pixels, and assigning a color score to the evaluation area based on an average of the color values of the plurality of pixels.
1. A computer-implemented method for evaluating a condition of an ocular surface, the method comprising:
obtaining a digital signal representing at least a portion of the ocular surface, the digital signal indicative of a plurality of Cartesian space-based color components for a portion of the digital signal;
determining, from the plurality of Cartesian space-based color components, a value of a first component in a polar coordinate-based color space, the polar coordinate-based color space consisting of first, second, and third components;
determining, in response to the first component being within a range in the polar coordinate-based color space representing a color range associated with the condition, a color value as a function of the value of the first component of the polar coordinate-based color space and at least one of the first component or the second component of the polar coordinate-based color space, the function being based on the condition being evaluated; and
generating, based on the color value, a color score of the ocular surface representing a quantitative evaluation of the condition of the ocular surface.
2. The method of claim 1 , further comprising applying an average gain to a first portion of the digital signal, the average gain being associated with a second portion of the digital signal.
3. The method of claim 1 , wherein the color range associated with the condition represents a degree of redness of the ocular surface.
4. The method of claim 1 , wherein the ocular surface comprises conjunctiva.
5. The method of claim 1 , wherein the plurality of Cartesian space-based color components are a plurality of color components of a red-green-blue (RGB) color space.
6. The method of claim 1 , wherein the polar coordinate-based color space is a hue-saturation-value color space, the first, second, and third components in the polar coordinate-based color space being selected from the group consisting of a hue, a saturation, and a value.
7. The method of claim 6 , wherein the first component in the polar coordinate-based color space is a hue.
8. The method of claim 1 , further comprising storing the color score and an association of the color score with the digital signal.
9. The method of claim 1 , wherein the digital signal is a digital representation of a stained portion of the ocular surface.
10. The method of claim 9 , wherein the stained portion of the ocular surface comprises a stained portion of a conjunctiva.
11. The method of claim 1 , wherein generating, based on the color value, the color score comprises generating, based on a plurality of color values comprising the color value, the color score.
12. The method of claim 11 , wherein generating, based on the plurality of color values, the color score comprises computing a linear combination of the color values.
13. The method of claim 1 , further comprising identifying a progression of the condition of the ocular surface by comparing the color score to a previously-generated color score.
14. A system for evaluating a condition of an ocular surface, the system comprising:
an imaging system configured to obtain one or more digital images of the ocular surface; and
a controller in communication with the imaging system, the controller configured to execute instructions to perform operations comprising:
determining, from a plurality of Cartesian space-based color components represented in a portion of the one or more digital images, a value of a first component in a polar coordinate-based color space, the polar coordinate-based color space consisting of first, second, and third components;
determining, in response to the first component being within a range in the polar coordinate-based color space representing a color range associated with the condition, a color value as a function of the value of the first component of the polar coordinate-based color space and at least one of the first component or the second component of the polar coordinate-based color space, the function being based on the condition being evaluated; and
generating, based on the color value, a color score of the ocular surface representing a quantitative evaluation of the condition of the ocular surface.
15. The system of claim 14 , wherein the operations further comprise applying an average gain to a first portion of the one or more digital images, the average gain being associated with a second portion of the one or more digital images.
16. The system of claim 14 , wherein the ocular surface comprises conjunctiva.
17. The system of claim 14 , wherein the plurality of Cartesian space-based color components are a plurality of color components of a red-green-blue (RGB) color space.
18. The system of claim 14 , wherein the polar coordinate-based color space is a hue-saturation-value color space, the first, second, and third components in the polar coordinate-based color space being selected from the group consisting of a hue, a saturation, and a value.
19. The system of claim 14 , wherein the one or more digital images are digital representation of a stained portion of the ocular surface.
20. The system of claim 14 , wherein generating, based on the color value, the color score comprises generating, based on a plurality of color values comprising the color value, the color score.
21. The system of claim 20 , wherein generating, based on the plurality of color values, the color score comprises computing a linear combination of the color values.
22. The system of claim 14 , wherein the operations further comprise identifying a progression of the condition of the ocular surface by comparing the color score to a previously-generated color score.