Mossy Oak Tera Gila camouflage pattern
CamoMatrix Pattern DNA

Mossy Oak

Tera Gila
This pattern stands out most for gray / Tan, very low saturation; smooth, evenly distributed texture; and large-scale dominant.

What Stands Out

Standout #1

Color Character

Gray / Tan, very low saturation
Very low saturation compared with the reference patterns.
Standout #2

Texture Character

Smooth, evenly distributed texture
Very low fine-texture density and very low texture roughness compared with the reference patterns.
Standout #3

Pattern Scale

Large-scale dominant
Very low fine-scale structure and very high large-scale structure compared with the reference patterns.

The Pattern at a Glance

Palette
Primary: gray
Secondary: tan
Warm 98.4%
Cool 1.6%
Neutral 48.5%
Light & Dark
Dark 22%
Mid 57%
Light 20.9%
Dark, mid-tone and light areas measured across the analyzed pattern sample.
Pattern Scale
Fine 12.7%
Mid 31.5%
Large 55.9%
Dominant scale: macro

Pattern DNA

Color Character

Gray / Tan, very low saturation

The dominant detected color families are Gray / Tan. Its average color saturation is very low compared with the 247-pattern reference set.

What you may notice:
The pattern tends to read as muted or low-color rather than strongly colorful.

Light & Dark Structure

Brighter than most patterns, typical tonal separation

22% of the sampled pattern falls in the governed dark tonal range. Its tonal-group separation is within the broad middle of the reference set.

What you may notice:
The pattern reads bright at a glance.

Edge Character

Mixed edge structure

Edge density is low, average detected edge strength is low, and the share of qualifying edges classified as hard is low relative to the reference set.

What you may notice:
Detected boundaries tend to transition more gently than in many reference patterns.

Texture Character

Smooth, evenly distributed texture

Fine texture density is very low, roughness is very low, and texture uniformity is high compared with the reference set.

What you may notice:
Texture activity is distributed more consistently across the pattern.

Shape Character

Typical overall shape structure

Effective retained-region fragmentation is typical, while average retained-region elongation is typical relative to the reference set.

What you may notice:
The effective division of visible regions is broadly typical.

Pattern Scale

Large-scale dominant

The analyzer classifies dominant scale as macro. Fine-scale energy is very low, mid-scale energy is typical, and large-scale energy is very high relative to the reference set.

What you may notice:
Large visual structure makes the strongest contribution to the pattern.

Spatial Distribution

Typical overall spread, with stronger directional imbalance

Spatial information balance is typical, while left-right, top-bottom, and rotational asymmetry are high, typical, and typical relative to the reference set.

What you may notice:
The overall spread of visual activity is fairly typical, but its arrangement is less symmetrical across one or more directions.

Where This Pattern Fits

Where It Fits

This pattern appears best aligned with brighter or paler overall backgrounds. Its detected color families align with backgrounds containing tan dry grass, vegetation, bark, or exposed earth and gray rock, bark, dead wood, or neutral material. Its large-scale structure favors backgrounds containing broader visual masses and structural features. Its smoother, more uniform texture aligns with backgrounds whose surface detail remains relatively consistent.

Where It May Struggle

Its measured characteristics may make it less naturally matched to very dark backgrounds and backgrounds dominated only by tiny repetitive detail.

Breakup Character

The pattern contains relatively few detected edges. The pattern shows relatively stronger spatial asymmetry.

How to read this:
These observations are derived from Pattern DNA measurements and comparisons with the frozen 247-pattern reference collection. They describe the kinds of visual backgrounds the pattern most closely aligns with; they are not a claim of field-tested performance in a specific location.

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