In this paper we present a segmentation technique based on tools from mathematical morphology which can be successfully used for automatic segmentation of diatom images. The proposed method belongs to the class of hybrid segmentation techniques, and is based on the morphological watershed from markers. The novelty of this method is the computation and selection of markers. A new connected operator is used to simplify the input image and to produce candidate marker regions. A further step which selects among these regions is carried out in order to produce the final markers as a label image, and a watershed process initiated from this image is applied on the gradient of the input image. In a post-processing step, the contours of the diatoms present in the resulting image (given as watershed lines) are extracted. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Jalba, A. C., & Roerdink, J. B. T. M. (2003). Automatic segmentation of diatom images. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2756, 329–336. https://doi.org/10.1007/978-3-540-45179-2_41
Mendeley helps you to discover research relevant for your work.