Applications

Roberts Edge Detection

The Roberts operator measures a 2-D spatial gradient on an image in a straightforward, quick-to-compute manner. As a result, strong spatial gradient zones, which frequently correspond to edges, are highlighted. The operator’s input and output are both grayscale images in their most typical configuration. The estimated absolute magnitude of the input image’s spatial gradient at that position is represented by pixel values at each place in the output....

Roberts cross operator

The Roberts cross operator is used in image processing and computer vision for edge detection. Lawrence Roberts proposed it in 1963, and it was one of the first edge detectors. The Roberts cross operator is a differential operator that approximates an image’s gradient via discrete differentiation, which is accomplished by computing the sum of the squares of the differences between diagonally adjacent pixels....

Advantages:

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Disadvantages:

Detection of edges and orientation are easy.Diagonal direction points are preserved....

Applications:

Very sensitive to noise.not very accurate in edge detection....