arXiv:2606.06512eess.IV2026-06
提出一种新方法，精准检测对齐后的二值图像差异。
Dilated Symmetric Difference for Binary Image Comparison
- 基于数学形态学定义稀疏对称差分算子
- 在对齐误差可控时可有效识别图像差异
- 适合图像配准后差异分析场景
二值图像的比较通过数学形态学进行建模。本文引入一种新的算子——扩张对称差分。研究表明，只要残余对齐误差在指定范围内，该算子能有效检测二值图像间的差异。
原文摘要 · Abstract (English)
The comparison of two binary images is formulated in terms of mathematical morphology. A new operator, the dilated symmetric difference, is introduced. It is shown that the dilated symmetric difference effectively detects differences between binary images, provided that the residual alignment error is within specified bounds.
图像比较数学形态学二值图像
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