Gray-level corner detection

Authors:
Les Kitchen;Azriel Rosenfeld
Affiliations:
Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742, U.S.A.;Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742, U.S.A.
Venue:
Pattern Recognition Letters
Year:
1982

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Abstract

The usual approach to detecting corners in shapes involves first segmenting the shape, then locating the corners in its boundary. We present several techniques for measuring 'cornerity' values in gray-level images, without prior segmentation, so that corners can be detected by thresholding these values.