Fully Functional Image Edge Detection with GUI Implementation

This program enables users to select images and perform comprehensive edge detection operations within the MATLAB environment. Through an intuitive Graphical User Interface (GUI), users can effortlessly complete edge detection tasks without manual coding. Image edge detection represents a fundamental computer vision technique that identifies object boundaries and contours within digital images by detecting discontinuities in pixel intensity. The implementation utilizes MATLAB's built-in edge detection functions (such as Sobel, Canny, or Prewitt operators) which calculate gradient magnitudes to locate sharp intensity changes. The GUI components include file selection dialogs for image input, parameter adjustment sliders for threshold tuning, and real-time visualization panels for result comparison. Key program features: - File navigation system using uigetfile() function for image format compatibility (JPEG, PNG, BMP) - Dynamic parameter controls via GUI sliders and edit boxes for threshold and sigma values - Dual-panel display showing original vs. processed images using subplot() functionality - One-click operation through callback functions attached to push buttons This solution aims to simplify edge detection workflows by providing an accessible interface suitable for both programming novices and experienced users requiring rapid prototyping. Users simply need to select target images through the GUI file picker, adjust detection parameters as needed, and execute the algorithm with single-button operations to obtain precise edge detection results.