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OpenCV Computer Vision Application Programming Cookbook Second Edition by Robert Laganière

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Segmenting images using watersheds

The watershed transformation is a popular image processing algorithm that is used to quickly segment an image into homogenous regions. It relies on the idea that when the image is seen as a topological relief, the homogeneous regions correspond to relatively flat basins delimited by steep edges. As a result of its simplicity, the original version of this algorithm tends to over-segment the image, which produces multiple small regions. This is why OpenCV proposes a variant of this algorithm that uses a set of predefined markers that guide the definition of the image segments.

How to do it...

The watershed segmentation is obtained through the use of the cv::watershed function. The input for this function is a 32-bit ...

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