CVPR 2023 – Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections

In this episode we discuss Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections
by Alexander Gillert, Giulia Resente, Alba Anadon-Rosell, Martin Wilmking, Uwe Freiherr von Lukas. The paper proposes a new iterative method called Iterative Next Boundary Detection (INBD) for detecting tree rings in microscopy images of shrub cross sections. This is a difficult task due to the concentric circular ring shape of the objects and the high precision requirements. INBD models the natural growth direction, starting from the center of the shrub cross section and detecting the next ring boundary in each iteration step, and outperforms existing methods in experiments. The dataset and source code are also made available.