Skip to main content
. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: Ocul Surf. 2021 May 16;21:134–144. doi: 10.1016/j.jtos.2021.05.003

Table 3:

Objective Quantification Methods of Ocular Redness

Group Description Region of Interest (ROI) Characteristics Limitations
Red color extraction
Willingham FF et al Mean relative redness (RR) Blood vessel area ratio (VA) Temporal and nasal bulbar (circle region) Reduce the impact of operator in consistency during image acquisition Need specific camera and image system
Owen CG et al Proportion of vasculature Temporal bulbar (square region) Distinguish vasculature between conjunctivae and sclera, increase sensitivity ROI was not the same area among the subjects.
Guillon M et al Individual vessel width
Percentage vessel coverage
All four quadrants of limbal and bulbar Provide a precise and sufficient sensitive measure of the level of conjunctival redness Not relate closely to the subjective measurements.
Sorbara L et al CIEu* chromaticity values (0–107 (deep red)) Temporal and nasal bulbar (circle region) Offer accurate and more sensitive measurements of redness Not variable at low levels of ocular redness
Yoneda T et al Proportion of blood vessels in the conjunctiva Temporal bulbar (square region) Simple analysis and images can be analyzed promptly All photographs were taken by a single photographer and not reliable
Amparo F et al Ocular redness index (ORI): a continuous centesimal (0–100) scale Whole temporal bulbar(freehand selection) Intuitive, efficient and user friendly The way of white balance affects final scores a lot
Combination of vessel edge detection and red color extraction
Fieguth P et al Edge-Redness Assessed Grade (0–100) Whole temporal and nasal bulbar Minimum amount of operator intervention, more accuracy and less variability Need more time and too complicated
Ferrari G et al Relative redness of image (RRI)
Edge feature (EF) scales
Freehand selection around the exposed conjunctiva A semiautomatic method to objectively quantify ocular surface inflammation in a simple and low cost way Long time required to process images
Wolffsohn JS et al Edge detection (ED)
Relative color extraction (RCE)
Temporal bulbar (rectangular region) More sensitive and reliable than subjective grading. Non-linear scale
Other algorithms
Park IK et al Occupied area by blood vessels Whole temporal bulbar(freehand selection) Cover the whole range of conditions that may cause conjunctival injection with various severity levels, not limited to specific conditions Complicate algorithms need to be applied
Rodriguez JD et al Total average redness intensity (Com-Red)
Proportion of horizontal conjunctival vessels (Com-Hor)
Temporal bulbar (rectangular region) Objective measurement of the geometry of vessels Only proved in Dry eye Disease induced ocular redness
Wu et al Redness score (RS):Area percentage ratio between the vessels and the remainder of analyzed area Nasal limbal, temporal limbal, nasal bulbar, temporal bulbar and global A reliable and objective commercial product that can be used easily Machine restricts the visible ocular area, overestimated the scores obtained using the subjective scale
Romano V et al Pixel densitometry index (PDI): The mean intensity of the pixels in the ROI Nasal, temporal, superior, and inferior conjunctival quadrant. Avoid the need for white balance standardization of a photograph Invasive measurement and PDI cannot be as amenable to interpatient comparison