skimage 0.17.2

BackRef

This module provides functions to find local maxima and minima of an image. Here, local maxima (minima) are defined as connected sets of pixels with equal gray level which is strictly greater (smaller) than the gray level of all pixels in direct neighborhood of the connected set. In addition, the module provides the related functions h-maxima and h-minima.

Soille, P. (2003). Morphological Image Analysis: Principles and Applications (2nd ed.), Chapter 6. Springer-Verlag New York, Inc.

extrema.py - local minima and maxima

extrema.py - local minima and maxima

This module provides functions to find local maxima and minima of an image. Here, local maxima (minima) are defined as connected sets of pixels with equal gray level which is strictly greater (smaller) than the gray level of all pixels in direct neighborhood of the connected set. In addition, the module provides the related functions h-maxima and h-minima.

Soille, P. (2003). Morphological Image Analysis: Principles and Applications (2nd ed.), Chapter 6. Springer-Verlag New York, Inc.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.morphology.extrema.h_minima skimage.morphology.extrema.h_maxima

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


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