Abstract
The final goal of image processing and analysis is, often, to segment the image into objects in order to analyze the geometric properties (e.g., the size) and the structure of the objects and recognize them. The analysis of the geometric objects must be quantitative, because only such an analysis and description of the geometric objects can provide a coherent mathematical framework for describing the spatial organization. The quantitative description of geometrical structures is the purpose of mathematical morphology [1].
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Pitas, I., Venetsanopoulos, A.N. (1990). Morphological Image and Signal Processing. In: Nonlinear Digital Filters. The Springer International Series in Engineering and Computer Science, vol 84. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6017-0_6
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