The computer program "Histropy" is an interactive Python program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) using calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms. The histograms of these images display pixel-intensity values along the x-axis (of a 2D Cartesian plot), with the frequency of each intensity value within the image represented along the y-axis. The images need to be of 8-bit or 16-bit information depth and can be of arbitrary size. Histropy generates an image's histogram surrounded by a graphical user interface that allows one to select any range of image-pixel intensity levels, i.e. sections along the histograms' x-axis, using either the computer mouse or numerical text entries. The program subsequently calculates the (so-called Monkey Model) Shannon entropy and root-mean-square contrast for the selected section and displays them as part of what we call a "histogram-workspace-plot." To support the visual identification of small peaks in the histograms, the user can switch between a linear and log-base-10 display scale for the y-axis of the histograms. Pixel intensity data from different images can be overlaid onto the same histogram-workspace-plot for visual comparisons. The visual outputs of the program can be saved as histogram-workspace-plots in the PNG format for future usage. The source code of the program and a brief user manual are published in the supporting materials as well as on GitHub. Instead of taking only 2D images as inputs, the program's functionality could be extended by a few lines of code to other potential uses employing data tables with one or two dimensions in the CSV format.

翻译：计算机程序“Histropy”是一款交互式Python程序，用于通过基于图像数据像素强度、其直方图以及用户选定直方图区域的计算，对二维图像/图案（支持JPG/JPEG、PNG、GIF、BMP或基线TIF/TIFF格式）的选定特征进行量化。这些图像的直方图在x轴（二维笛卡尔坐标系）上显示像素强度值，y轴表示图像内各强度值的频率。图像需为8位或16位信息深度，尺寸可任意。Histropy生成带有图形用户界面的图像直方图，用户可通过计算机鼠标或数值文本输入选择任意范围的图像像素强度级别（即直方图x轴上的区间）。程序随后计算选定区间的（所谓“猴子模型”）香农熵和均方根对比度，并将其显示在我们称为“直方图工作区图”的可视化组件中。为辅助识别直方图中的微小峰值，用户可在直方图y轴的线性显示与以10为底的对数显示尺度间切换。来自不同图像的像素强度数据可叠加至同一张直方图工作区图中进行可视化比较。程序的可视化输出可保存为PNG格式的直方图工作区图以供后续使用。程序源代码及简明用户手册已随附于补充材料并发布于GitHub。除处理二维图像输入外，通过少量代码修改，本程序功能可扩展至其他潜在应用场景，例如处理具有一维或二维结构的CSV格式数据表。