Photoshop-Style Magnetic Edge Detection Program Implementation in MATLAB

In this documentation, I would like to share a MATLAB implementation of a magnetic edge detection program that mimics the functionality found in Photoshop. This program utilizes edge detection algorithms combined with interactive selection techniques to achieve magnetic edge effects in image processing, similar to Photoshop's magnetic lasso tool. The implementation employs gradient-based edge detection methods where the program automatically snaps to high-contrast boundaries in images, allowing users to precisely select object contours with minimal manual input. The core algorithm involves calculating image gradients using Sobel or Canny operators, followed by implementing a magnetic field simulation that attracts the selection path toward strong edges. Key functions include edge magnitude calculation, directional guidance, and path optimization routines that ensure smooth selection boundaries. The program provides flexible parameter adjustments for edge sensitivity, search radius, and smoothing factors, enabling users to customize edge detection results according to specific image characteristics. Developing this magnetic edge program in MATLAB offers deeper insights into digital image processing principles and techniques, while allowing complete customization based on project requirements. The implementation process presents an engaging challenge that combines mathematical algorithms with practical programming skills, enhancing proficiency in MATLAB development. Through this program, users can achieve more dynamic and appealing image edge effects, making it suitable for various computer vision and graphic design applications. I hope you find this program valuable and can successfully integrate it into your image processing projects.