Morphological characteristics of martensite-austenite structures

The morphological features data table contains the measured and calculated features of the polygons. This is a pickle file that can be opened with Python and loaded as a Pandas DataFrame. •Image_url: The name of the base image. •point_shapely: The Shapely representation of the point. •poly_shapely: The Shapely representation of the polygon. •polygon_area: The area of polygons in pixel-units. •polygon_area_metric: The area of polygons in micrometers. •polygon_perimeter: The perimeter of the polygon in pixel-units. •polygon_perimeter_metric: The perimeter of the polygon in micrometers. •height: The height of the rectangle that bounds the polygon in pixel-units. •width: The width of the rectangle that bounds the polygon in pixel-units. •aspect_ratio: The height of the bounding box of the polygon divided by the width of the bounding box of the polygon. •polygon_compactness: Calculated Polsby-Popper compactness. •rotation_angle_polygon: The angle of tilted minimum bounding rectangle本形态特征数据表包含经实测与计算得到的多边形各项特征。该文件为Pickle格式文件，可通过Python读取并加载为Pandas数据框。 • Image_url：基础图像文件名 • point_shapely：点的Shapely几何表达 • poly_shapely：多边形的Shapely几何表达 • polygon_area：以像素为单位的多边形面积 • polygon_area_metric：以微米为单位的多边形面积 • polygon_perimeter：以像素为单位的多边形周长 • polygon_perimeter_metric：以微米为单位的多边形周长 • height：多边形外接矩形的高度（像素单位） • width：多边形外接矩形的宽度（像素单位） • aspect_ratio：多边形外接矩形的高宽比 • polygon_compactness：经计算得到的波尔斯比-波普尔（Polsby-Popper）紧致性指标 • rotation_angle_polygon：多边形最小倾斜外接矩形的旋转角度