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Blob detection

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In the area of computer vision, 'blob detection' refers to visual modules that are aimed at detecting points and/or regions in the image that are either brighter or darker than the surrounding. There are two main classes of blob detectors (i) differential methods based on derivatives and (ii) methods based on local extrema in the intensity landscape.

The Laplacian

The DoG approach

The determinant of the Hessian

Maximally stable extremum regions

Grey-level blobs and grey-level blob trees

See also

corner detection

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