Steger Algorithm for Image Edge Detection

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Resource Overview

A MATLAB-based implementation of the Steger edge detection algorithm that effectively identifies both edge centers and edge boundaries through parameter optimization, featuring customizable Hessian matrix analysis and sub-pixel precision calculation.

Detailed Documentation

The MATLAB-implemented Steger algorithm provides robust detection of image edge centers through Hessian matrix-based ridge extraction. This method extends beyond centerline detection to capture full edge profiles by adjusting sensitivity parameters for gradient magnitude and curvature thresholds. The algorithm employs eigenvalue analysis of the Hessian matrix to determine ridge directions, followed by sub-pixel interpolation for precise edge localization. Key functions include Gaussian derivative filtering for noise-robust gradient calculation and non-maximum suppression for edge refinement. With tunable parameters for scale selection and response thresholds, the implementation offers flexibility to adapt to various edge characteristics and application requirements.

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