Let say we have following image:
made with following Julia-code:
using Images
using PyPlot
using ImageFiltering
function chessboardimg(m::Int, n::Int, blkwidth::Int, blkheight::Int, )
img = zeros(m, n)
togglex = true
toggley = !togglex
for i=1:m
togglex = true
for j=1:n
img[i, j] = abs(togglex - toggley)
if j % blkwidth <= 0
togglex = !togglex
end
end
if i % blkheight <= 0
toggley = !toggley
end
end
return img
end
### creating image ####
img1 = transpose(triu(ones(20, 20)))
img2 = chessboardimg(20, 20, 10, 10)
img = [img1 img2]
Now i want to get the edge directions in this image as below:
gx, gy = imgradients(img)
mag, grad_angle = magnitude_phase(gx, gy)
grad_angle *= 180 / pi
imshow(grad_angle, "gray", interpolation="none")
These are the images of each calculated step:
as you can see in the "Gradient Direction"-image twoh vertical lines are missing. which should actually indicate the transition from black to white region in the y-direction.
1) what am i doing wrong?
imshow
deal with the values you feed it like you think it should do it, or does it just behave like it's specified to deal with them? $\endgroup$ – Marcus Müller Feb 14 '17 at 13:18