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The Tracker
object provides directions and discrete derivatives (differences)
for images
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- val a1: MatrixI
- val a2: MatriI
- val a3: MatriI
- val a4: MatriI
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def d_dx(a: MatriI, x: Int, y: Int): Double
Compute the discrete derivative of image 'a' w.r.t.
Compute the discrete derivative of image 'a' w.r.t. 'x'.
- a
the 2D image matrix
- x
the x-coordinate/pixel
- y
the y-coordinate/pixel
- def d_dy(a: MatriI, x: Int, y: Int): Double
Compute the discrete derivative of image 'a' w.r.t.
Compute the discrete derivative of image 'a' w.r.t. 'y'.
- a
the 2D image matrix
- x
the x-coordinate/pixel
- y
the y-coordinate/pixel
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- def grad(a: MatriI, x: Int, y: Int): VectoD
Compute the discrete gradient of image 'a' w.r.t.
Compute the discrete gradient of image 'a' w.r.t. 'x' and 'y'.
- a
the 2D image matrix
- x
the x-coordinate/pixel
- y
the y-coordinate/pixel
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- val q_directions: IndexedSeq[VectorI]
Queen directions
- val r_directions: IndexedSeq[VectorI]
Rook directions
- def shift(a: MatriI, dx: Int, dy: Int, fill: Int = 1): MatriI
Shift the image by the given displacements.
Shift the image by the given displacements.
- a
the 2D image matrix
- dx
the x-coordinate displacement
- dy
the y-coordinate displacement
- fill
the pixel value to fill with
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