skimage2.feature.corner_kitchen_rosenfeld#
- skimage2.feature.corner_kitchen_rosenfeld(image, mode='constant', cval=0)[source]#
Compute Kitchen and Rosenfeld corner measure response image.
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:
- imagendarray of shape (M, N)
Input image.
- mode{‘constant’, ‘reflect’, ‘wrap’, ‘nearest’, ‘mirror’}, optional
How to handle values outside the image borders.
- cvalfloat, optional
Used in conjunction with mode ‘constant’, the value outside the image boundaries.
- Returns:
- responsendarray
Kitchen and Rosenfeld response image.
References
[1]Kitchen, L., & Rosenfeld, A. (1982). Gray-level corner detection. Pattern recognition letters, 1(2), 95-102. DOI:10.1016/0167-8655(82)90020-4
