skimage 0.17.2

ParametersReturns
corner_kitchen_rosenfeld(image, mode='constant', cval=0)

The corner measure is calculated as follows:

(imxx * imy**2 + imyy * imx**2 - 2 * imxy * imx * imy)
    / (imx**2 + imy**2)

Where imx and imy are the first and imxx, imxy, imyy the second derivatives.

Parameters

image : ndarray

Input image.

mode : {'constant', 'reflect', 'wrap', 'nearest', 'mirror'}, optional

How to handle values outside the image borders.

cval : float, optional

Used in conjunction with mode 'constant', the value outside the image boundaries.

Returns

response : ndarray

Kitchen and Rosenfeld response image.

Compute Kitchen and Rosenfeld corner measure response image.

Examples

See :

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


File: /skimage/feature/corner.py#400
type: <class 'function'>
Commit: