© Vladimir Kovalevsky 2019
Vladimir KovalevskyModern Algorithms for Image Processinghttps://doi.org/10.1007/978-1-4842-4237-7_9

9. Image Segmentation and Connected Components

Vladimir Kovalevsky1 
(1)
Berlin, Germany
 
Image segmentation is an important procedure in image analysis. The following is known about segmentation (refer e.g. to Shapiro (2001):

In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.[1][2] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. ...

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