Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels

ArXi:2605.00744v1 Announce Type: new Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gray-level intensity changes abruptly in multiple directions and are widely used in feature extraction, object tracking, and 3D modeling. In this study, we present a quantum implementation of Sobel-based edge detection and Harris-style corner detection.