Curved Masks is a mathematical operation utilized in picture processing to focus on or suppress the curved areas of a picture. It’s a nonlinear operation that means that the output pixel worth shouldn’t be linearly associated to the enter pixel worth. Curved Masks is utilized in a wide range of functions, together with picture enhancement, segmentation, and denoising.
There are a number of methods to implement Curved Masks. One frequent method is to make use of a Gaussian kernel. A Gaussian kernel is a bell-shaped operate that’s used to clean photographs. By convolving a picture with a Gaussian kernel, the curved areas of the picture are smoothed out, whereas the sharp areas are preserved. The diploma of smoothing may be managed by the usual deviation of the Gaussian kernel: a bigger commonplace deviation leads to extra smoothing.