This paper presents a customized pipeline for segmenting manuscript fragments
from images curated by the Israel Antiquities Authority (IAA). The images
present challenges for standard segmentation methods due to the presence of the
ruler, color, and plate number bars, as well as a black background that
resembles the ink and varying backing substrates. The proposed pipeline,
consisting of four steps, addresses these challenges by isolating and solving
each difficulty using custom tailored methods. Further, the usage of a
multi-step pipeline will surely be helpful from a conceptual standpoint for
other image segmentation projects that encounter problems that have proven
intractable when applying any of the more commonly used segmentation
techniques. In addition, we create a dataset with bar detection and fragment
segmentation ground truth and evaluate the pipeline steps qualitatively and
quantitatively on it. This dataset is publicly available to support the
development of the field. It aims to address the lack of standard sets of
fragment images and evaluation metrics and enable researchers to evaluate their
methods in a reliable and reproducible manner.

本文介绍了一种用于从以色列古物管理局（IAA）策划的图像中分割手稿碎片的定制流水线，并通过隔离和解决每个困难的定制方法来解决标尺、颜色、号码栏以及黑色背景等难题。此外，我们创建了一个带有条形码检测和碎片分割真值信息的数据集，并在该数据集上定性和定量地评估流水线步骤。该数据集公开可用，旨在解决碎片图像和评估指标的缺乏，并使研究人员能够以可靠且可重复的方式评估他们的方法。