Image segmentation is the task of partitioning a natural image into multiple contiguous regions, also known as segments, whereby adjacent regions are separated by salient edges or contours, and each region consists of pixels with homogeneous color or texture. In computer vision, this is widely accepted as a crucial step for any high-level vision tasks such as object recognition and understanding image semantics.
CITATION STYLE
Vidal, R., Ma, Y., & Sastry, S. S. (2016). Image segmentation. In Interdisciplinary Applied Mathematics (Vol. 40, pp. 377–400). Springer Nature. https://doi.org/10.1007/978-0-387-87811-9_10
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