New edge detection algorithms revolutionize image processing for clearer online detection.
The article explores different methods for detecting edges in images, such as the canny, prewitt, Robert, and sobel operators. These operators help process images quickly and accurately, especially in online detection. Image quality assessment models are used to measure image quality, as unclear boundaries can lead to improper edge detection. By comparing the performance of these edge detection algorithms, researchers aim to find the best method for digital image processing.