Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images
Fig 17
Two Graphical User Interfaces for demonstrating the graph construction and analysis.
A. GUI for illustrating the shape-to-graph approach and the key concepts such as subgraph, in- and out-graphs, and the width and boundary profiles. The user can cycle through the boundaries and see the 40 metrics extracted for each boundary. B. GUI for processing multiple images. Boundaries are automatically clustered and colored according to a user-specified number of boundary types. The bottom graphs are the frequency of boundary types in the current image, a t-SNE of all the boundaries calculated by their features and colored by their resulting class, and a PCA plot of all the images derived from their boundary type histograms.