Image Gradients(Color progression)

An image gradient is a(or the most) directional change in the intensity or color in an image.

* Canny edge detector uses image gradient for edge detection.

The gradient of a two-variable function (here the image intensity function) at each image point is a 2D vector with the components given by the derivatives in the horizontal and vertical directions.

Image gradient formula:

v¯= f∇  =  [∂f/ ∂x,  ∂f/ ∂y]

At each image point, the gradient vector points in the direction of largest possible intensity increase, and the length of the g¹radient vector corresponds to the rate of change in that direction.

The gradient direction formula:

θ = tan‾¹[∂f/ ∂x/ ∂f/ ∂y]

The amount of change(size/magnitude):

√((∂f/ ∂x)²+(∂f/ ∂y)²)

 

Comments are closed, but trackbacks and pingbacks are open.