Edge detection is a method used to find boundaries in images by identifying sharp changes in brightness. The Canny algorithm is a popular technique for this. Edge detection helps in reducing noise in images and is crucial for tasks like object recognition. This study compares different edge detection methods, focusing on the efficiency of the Canny algorithm. The main goal is to understand and implement edge detection for image segmentation and structural analysis. The researchers found that the Canny algorithm outperformed other methods in terms of output quality.