Method for Calculating Gradient Magnitude of Grayscale Images

A method for calculating gradient magnitude of grayscale images developed using MATLAB R2007. This technique computes image gradient magnitude by analyzing differences between pixel values, typically implemented through convolution operations with Sobel or Prewitt filters. The process involves grayscale conversion and edge detection procedures, where key MATLAB functions like imgradient or custom implementations using fspecial and imfilter can be employed to obtain gradient magnitude information across different image regions. Developed on MATLAB R2007 platform, this method provides straightforward implementation of gradient magnitude calculations for image processing tasks, facilitating image analysis and feature extraction workflows. The algorithm enables enhanced understanding and analysis of edge and texture characteristics within images, serving as valuable reference and tool for research and applications in digital image processing. Implementation typically involves calculating horizontal and vertical gradients using kernel operations, followed by magnitude computation using the formula sqrt(Gx² + Gy²).