Comparative data of ImageJ and MultiPoroX

This dataset was generated in the context of a comparative analysis of the performance of defect analysis methods in the paper: _Additive manufacturing of multi-material parts – A tool for automated defect analysis_.

__Used software:__ MATLAB® R2024b, ImageJ (Version 1.54p 17 February 2025)

For both analyses the same images and parameters were used.

__Used parameters:__

* __Resizing:__ None
* __Scaling factor (Pixels per Milimeter):__ 840
* __Preprocessing:__ Histogram Equalization (1%)
* __Segmentation Threshold:__ 65

__The analysis compared the results related to:__

* Calculated Porosity
* Detected Defects
* Unassigned Material Area
* Unassigned Defect Area
* Number of Unassigned Defects


Comparison of the reference analysis using ImageJ (IMJ) and MultiPoroX (MPX)

### References
Meyer, I., Glitt, L., Lachmayer, R. (2025). *MultiPoroX*: Automated multi-material porosity analysis tool [Data set]. LUIS. https://doi.org/10.25835/27xsmm9e

Meyer, I., Oel, M., Ehlers, T., & Lachmayer, R. (2023). *Additive manufacturing of multi-material parts – Design guidelines for manufacturing of 316L/CuCrZr in laser powder bed fusion*. Heliyon, 9(8), e18301. https://doi.org/10.1016/j.heliyon.2023.e18301

### Acknowledgments

The project ”*Additive Fertigung multimaterieller Komponenten zur nachhaltigen Energiewandlung*” was funded by the European Regional Development Fund (ERDF) and the state of Lower Saxony – Project number ZW 7-87011865.

The project ”*Major Research Instrumentation for integration of efficient effects in multi-material structural components*” was funded by the Deutsche Forschungsgemeinschaft (DFG - German Research Foundation) - Project number 445707542.

本数据集是为配合论文《多材料构件增材制造——自动化缺陷分析工具》（*Additive manufacturing of multi-material parts – A tool for automated defect analysis*）中的缺陷分析方法性能对比研究而构建的。

**所用软件：** MATLAB® R2024b、ImageJ（2025年2月17日发布的1.54p版本）

两项分析均采用完全一致的图像与参数。

**所用参数：**
* **尺寸调整**：无
* **缩放因子（像素/毫米）**：840
* **预处理**：直方图均衡化（1%）
* **分割阈值**：65

**本次分析对比的结果指标包括：**
* 孔隙率计算值
* 已检测缺陷
* 未分配材料区域
* 未分配缺陷区域
* 未分配缺陷数量


使用ImageJ（IMJ）与MultiPoroX（MPX）的参考分析结果对比

**参考文献**
1. Meyer, I., Glitt, L., Lachmayer, R. (2025). *MultiPoroX*：自动化多材料孔隙率分析工具[数据集]. LUIS. https://doi.org/10.25835/27xsmm9e
2. Meyer, I., Oel, M., Ehlers, T., & Lachmayer, R. (2023). 多材料构件增材制造——激光粉末床熔融制备316L/CuCrZr的设计指南. Heliyon, 9(8), e18301. https://doi.org/10.1016/j.heliyon.2023.e18301

**致谢**
本项目"面向可持续能源转换的多材料构件增材制造"（原德语标题：*Additive Fertigung multimaterieller Komponenten zur nachhaltigen Energiewandlung*）获欧洲区域发展基金（ERDF）与下萨克森州资助，项目编号：ZW 7-87011865。
本项目"多材料结构构件高效效应集成大型研究仪器"（原英文标题：*Major Research Instrumentation for integration of efficient effects in multi-material structural components*）获德国研究基金会（Deutsche Forschungsgemeinschaft，简称DFG）资助，项目编号：445707542。