The subject of this book is image segmentation by variational methods. The focus is on formulations which use closed curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. In broad terms, image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components.
CITATION STYLE
Mitiche, A., & Ayed, I. B. (2011). Introduction. In Springer Topics in Signal Processing (Vol. 5, pp. 1–13). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-642-15352-5_1
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