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December 20, 2014 11:24
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Image Gradients
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| Dervative is rate of change. | |
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We all have heard this clichéd line trillions of time right from the time of high school.
Similarly, Image derivative represents the rate of the change in the intensity values of an image. But wait, we learnt that the derivatives can only be found out of functions that are continuous and images are discrete signals. So, we approximate this by using Derivatives Masks.
The various kinds of derivative masks that are available are -
[-1, 1][1, -1][-1, 0, 1]Images are 2D, we need to find 2 partial derivatives. From the 2 partial derivatives, we get the magnitude and the direction of vector.
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