Binarising AI Line Art For Vector Traceability: What Survived The Adobe CSV Test

说明与用途

问题：AI线稿的柔和边缘产生灰色光晕，导致Adobe审核拒绝并增加向量跟踪节点数。解决方案：将图像转换为灰度，使用Otsu阈值化，使用最近邻缩放，验证节点数，并生成正确的CSV元数据。结果：40个资产中有39个通过审核。

问题

AI‑generated line art contains soft edges that produce gray halos, causing Adobe review rejections and excessive anchor points in vector traces.

结果

Implemented a pipeline that binarises AI line art using Otsu’s thresholding, resizes with nearest‑neighbor, verifies node counts, and generates correct CSV metadata, resulting in 39 successful submissions out of 40 assets.

工作流

• Convert image to grayscale and compute histogram
• If histogram is bimodal, apply Otsu’s method to determine threshold; otherwise use fixed threshold 160
• Binarise image using determined threshold
• Resize image with nearest‑neighbor only after binarisation
• Verify vector trace node count is in low hundreds per icon
• Generate platform‑specific CSV metadata with correct header
• Track submissions to avoid duplicates
• Package and submit final assets

证据

I lost a full day of batch output to a single grayscale pixel.

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Adobe's review flagged a chunk of them for artifacts in the line work.

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After binarising at the right threshold: 312 nodes versus 1,847 nodes raw trace.

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The threshold is not 128… I burned a whole render cycle learning that.

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One process at a time, never fan out image jobs in parallel on a single core.

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