Segmentation of soil section images using connected operators

Anastasia Sofou, Costas S. Tzafestas, Petros Maragos

Abstract: Segmentation of soil section images is an important task for automating the measurement of the grains' properties as well as for detecting and recognizing objects in the soil, important for its bioecological quality. We apply several types of morphological systems to watershed-based segmentation of soil section images. We use efficient connected operators such as reconstruction open-closing and area open-closing as well as some relatively new operators, the levelings, for image denoising, simplification and feature/marker extraction. Further, we introduce an improvement of the reconstruction operators used in segmentation, based on a generalized multiscale connectivity analysis.