The Sobel Operator is a popular image processing technique used to detect edges in images. It works by applying a pair of convolution kernels, one for detecting horizontal edges and another for vertical edges. These kernels help highlight areas of rapid intensity change, making it easier to identify the boundaries of objects within an image. This operator is particularly useful in computer vision and image analysis, as it simplifies the data while preserving important structural information. By emphasizing edges, the Sobel Operator aids in various applications, such as object recognition and image segmentation, enhancing the overall understanding of visual content.