标题： 轮廓分析工具：用于背景和形态分析的交互式工具 显示英文标题

标题： Contour Analysis Tool: an interactive tool for background and morphology analysis

摘要： 我们介绍了轮廓分析工具（CAT），这是一个旨在识别和分析密度图中结构元素的Python工具包。 CAT采用各种轮廓技术，包括最低闭合轮廓（LCC）、线性和对数Otsu阈值化，以及平均梯度阈值化。 这些轮廓有助于前景和背景分割，为两者提供自然的边界，以及边缘检测和结构识别。 此外，CAT提供了平滑、背景去除和图像掩码等图像处理方法。 该工具包具有为Jupyter环境设计的交互式控制套件，使用户能够立即可视化不同方法和参数的效果。 我们描述、测试并展示了CAT的性能，突出了其潜在的使用案例。 CAT在GitHub上公开可用，促进了可访问性和协作。 显示英文摘要

摘要： We introduce the Contour Analysis Tool (CAT), a Python toolkit aimed at identifying and analyzing structural elements in density maps. CAT employs various contouring techniques, including the lowest-closed contour (LCC), linear and logarithmic Otsu thresholding, and average gradient thresholding. These contours can aid in foreground and background segmentation, providing natural limits for both, as well as edge detection and structure identification. Additionally, CAT provides image processing methods such as smoothing, background removal, and image masking. The toolkit features an interactive suite of controls designed for Jupyter environments, enabling users to promptly visualize the effects of different methods and parameters. We describe, test, and demonstrate the performance of CAT, highlighting its potential use cases. CAT is publicly available on GitHub, promoting accessibility and collaboration.