CODE: An Adaptive Algorithm for Detecting Corners and Directions of Incident Edges

Conventional derivative-based corner detection is often crippled by missing junctions, poor localizations, and showing up of false negatives and false positives with change in the control parameters. This paper presents a novel algorithm that efficiently detects corners along with the directions (orientations) of the edges associated with each corner. The algorithm is marked by some adaptive features that strengthen the robustness and usefulness of the algorithm. Experimental results on a varied set of images exhibit the stability and efficiency of the algorithm.

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