The main goal of the study was to compare different methods for detecting edges in images. The researchers tested five edge detection methods - Prewitt, Canny, Roberts, Sobel, and Laplacian of Gaussian - to see which one performed the best. They found that the Canny edge detector was the most effective at identifying edges in images. This information can help improve image processing techniques in various fields.