MATLAB Source Code for Calculating Image Average Gradient and Edge Intensity

I present here MATLAB source code for calculating the average gradient and edge intensity of images, delivered in M-file format. This implementation utilizes gradient operators (such as Sobel or Prewitt filters) to compute image gradients and employs edge detection algorithms to quantify edge strength. The code provides fundamental image analysis capabilities for evaluating image sharpness and structural information through gradient magnitude calculations. This source code assists in analyzing image gradients and edge intensity, enabling better understanding of image characteristics and feature extraction. You can utilize this implementation for image processing, computer vision research, and practical applications. The solution offers an efficient method to extract crucial image information through calculated gradient magnitudes and edge response values. Key functions include gradient computation using convolution kernels, edge intensity measurement through thresholding techniques, and statistical analysis of gradient distributions. The modular structure allows easy integration with existing image processing pipelines and supports various image formats. By employing this codebase, you can deepen your research and comprehension of image processing concepts, particularly in gradient-based feature analysis, and apply these techniques to real-world projects. May this implementation prove valuable for your professional work and academic studies!