Abstract
A new segmentation method based on the morphological characteristic of connected components in images is proposed. The formalisation of the morphological characteristic is based on a composition of the residuals of morphological opening and closing transforms by reconstruction. In case of multi-scale segmentation, this concept is generalised through the derivative of the morphological profile. Multi-scale segmentation is particularly well suited for complex image scenes such as aerial or fine-resolution satellite images, where very thin, enveloped and/or nested regions have to be retained. The proposed method performs well in the presence of both low radiometric contrast and relative low spatial resolution, which may produce textural and border effects and ambiguity in the object/background distinction. Examples of the proposed segmentation approach applied on satellite images are given.
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Pesaresi, M., Benediktsson, J.A. (2002). Image Segmentation Based on the Derivative of the Morphological Profile. In: Goutsias, J., Vincent, L., Bloomberg, D.S. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 18. Springer, Boston, MA. https://doi.org/10.1007/0-306-47025-X_20
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DOI: https://doi.org/10.1007/0-306-47025-X_20
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-7923-7862-4
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