Region of interest

The region of interest for which Markov's inequality gives a lower bound.

A region of interest (often abbreviated ROI) is a sample within a data set identified for a particular purpose.[1] The concept of a ROI is commonly used in many application areas. Existing as a vicinity, or within one. For example, in medical imaging, the boundaries of a tumor may be defined on an image or in a volume, for the purpose of measuring its size. The endocardial border may be defined on an image, perhaps during different phases of the cardiac cycle, for example, end-systole and end-diastole, for the purpose of assessing cardiac function. In geographical information systems (GIS), a ROI can be taken literally as a polygonal selection from a 2D map. In computer vision and optical character recognition, the ROI defines the borders of an object under consideration. In many applications, symbolic (textual) labels are added to a ROI, to describe its content in a compact manner. Within a ROI may lie individual points of interest (POIs).

  1. ^ Ron Brinkmann (1999). The Art and Science of Digital Compositing. Morgan Kaufmann. pp. 184. ISBN 978-0-12-133960-9.

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