Against Late Fall Hardwoods, Typha scores 39/100 (), while RT Extra Green scores 56/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 17-point lean toward RT Extra Green in this particular environment.
Firstlite Typha and QuikCamo RT Extra Green are both mixed-scale patterns, so they behave similarly from a scale point of view. Both patterns balances micro and macro elements, keeping them fairly steady across different shot distances. They are also similar in overall density, so neither one is dramatically busier or more open.
Firstlite Typha vs QuikCamo RT Extra Green
Firstlite Typha and QuikCamo RT Extra Green have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. Both land in the mixed-scale category, meaning they balance fine texture with larger breakup blocks instead of living at one extreme. Density is similar, so neither pattern overwhelms the eye or leaves too much empty space. Edge style diverges: Firstlite Typha mixes both hard and soft edges, while QuikCamo RT Extra Green leans into smoother, blended transitions. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. QuikCamo RT Extra Green's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while Firstlite Typha stays finer on average. QuikCamo RT Extra Green lands slightly higher on the density index, adding a bit more visual texture. That can help in chaotic or brushy terrain where extra breakup is useful. As always, these results come from flat pattern imagery. Real-world performance depends heavily on terrain, season, and how the garments fit and move.
This is a pattern-only comparison from flat artwork. Terrain, season, and real backgrounds will still push one or the other ahead in specific setups.
Learn how the CamoMatrix AI evaluates camouflage patterns
Defines the dominant size of shapes in the pattern.
Indicates which scale range the pattern leans toward overall.
How busy the pattern is with shapes and noise.
How hard or soft shape boundaries are.