The dissimilarity corner detector
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1377-1382 vol.2
- https://doi.org/10.1109/icar.1991.240450
Abstract
The authors present a corner detection that works by using dissimilarity along the contour direction to detect curves in the image contour. The operator is fast, robust to noise and almost self-thresholding. The standard deviation of the image noise must be specified, but this value is easily measured and the explicit modeling of image noise contributes to the robustness of the operator to noise. The authors also present a new interpretation of the Kitchen-Rosenfeld corner operator (1982) in which they show that this operator can also be viewed as the second derivative of the image function along the edge direction.<>Keywords
This publication has 5 references indexed in Scilit:
- The effect of spatial discretization on the magnitude and direction response of simple differential edge operators on a step edgeComputer Vision, Graphics, and Image Processing, 1989
- Finding cornersImage and Vision Computing, 1988
- Overview on Image Sequence AnalysisPublished by Springer Nature ,1983
- Gray-level corner detectionPattern Recognition Letters, 1982
- A Class of Algorithms for Fast Digital Image RegistrationIEEE Transactions on Computers, 1972