Roblox Shirt Template

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ORIGINAL PIXEL AUDIT · NOVEMBER 15, 2026

Roblox Shirt Template Letter O: Does Diagonal Connectivity Change the Opening?

No difference appeared in these 12 saved 64 × 64 Roblox shirt template previews: four-neighbor and eight-neighbor flood fills found the same enclosed O counter area in every image. This result holds for the tested red-pixel rule and previews; it does not establish that every letter or export is insensitive to diagonal connectivity.

Open the shirt editorSee all 12 results ↓

The image-by-image comparison

We reused six normal-weight and six bold-weight O previews from two first-party Shirt exports. Each is 64 × 64 pixels. Both methods marked a pixel red when R > 100, R > 1.5 × G, and R > 1.2 × B. A flood fill starts at the image border; non-red pixels it cannot reach are counted as the enclosed counter. The only changed rule is which neighboring pixels the fill may cross.

Saved preview4-neighbor area8-neighbor areaDifference
1px-0-max129712970
1px-0-min129812980
1px-1-max128412840
1px-1-min128312830
1px-2-max130113010
1px-2-min130113010
2px-0-max9039030
2px-0-min9049040
2px-1-max8888880
2px-1-min8878870
2px-2-max9119110
2px-2-min9119110

For the normal 0-max preview, both rules count 1297 counter pixels. For its matched bold preview, both count 903. The bold-minus-normal change is -394 pixels under either connectivity rule. Across all 12 images, the largest absolute difference between methods is 0 pixels. This is an exact comparison of this sample, not a statistical estimate of other images.

Normal O saved preview
Normal O, 0-max
Bold O saved preview
Bold O, 0-max

Why test the diagonal rule?

A four-neighbor fill moves horizontally or vertically. An eight-neighbor fill can also move through diagonally touching non-red pixels. A diagonal gap could therefore let the second method reach an area the first treats as enclosed. In these O images, adding those diagonal moves changed no counter count. The result checks a method choice in the earlier area measurement; it does not measure human recognition.

Repeat the check on your own letter

  1. Export a classic Shirt design and save a preview at a fixed size. Keep the original file so both tests read identical pixels.
  2. Choose and record one color rule to separate the letter from its background. A different threshold can change the counter boundary.
  3. Flood-fill all non-letter pixels from the four image edges with horizontal and vertical moves. Count unreached non-letter pixels.
  4. Repeat from a fresh visited-pixel map, adding the four diagonal moves. Subtract the two enclosed counts and inspect any differing pixels.
  5. For avatar appearance, test the complete Shirt on a Studio rig. A 64-pixel preview count alone cannot establish fit or legibility.

Source and scope

The 12 saved previews, scripts, and paired counts are first-party material. The comparison covers two O stroke weights, three offset settings, and two checker phases. Roblox's classic clothing guide