Segmentation of soil section images using connected operators

Segmentation of soilsection 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. In this paper, we apply several types of morphological systems to watershed-based segmentation of soilsection 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.