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image restoration,CT scan,closed curve,


image restoration,CT scan,closed curve,

By : marthy
Date : November 22 2020, 03:01 PM
This might help you The technique you are looking for is called dilation. There is an example in the opencv library erosion and dilation
code :


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How to draw closed spline 3D (closed curve 3d) through unordered list of points3D. How to arrange points3D?

How to draw closed spline 3D (closed curve 3d) through unordered list of points3D. How to arrange points3D?


By : megatcorleone
Date : March 29 2020, 07:55 AM
wish of those help It sounds like you're looking for the Concave Hull of the data set.
Unfortunately, I don't know of any pre-canned algorithms, but the link references a paper that another developer was starting from, as well as some sample code, so maybe that'll help you in the right direction.
Image noise removal is part of image enhancement or image restoration?

Image noise removal is part of image enhancement or image restoration?


By : Spviit
Date : March 29 2020, 07:55 AM
like below fixes the issue Well there is the wikipedia page http://en.wikipedia.org/wiki/Image_restoration
It says that
Closed Bezier curve

Closed Bezier curve


By : Anurag Yadav
Date : March 29 2020, 07:55 AM
seems to work fine Simply use an additional segment that connects the last endpoint to the first (ex: duplicating the first control point).
A single bezier spline segment, whether it's cubic or quadratic or quartic, can't represent that kind of closed shape. Yet multiple segments can.
Hilbert-Peano curve to scan image of arbitrary size

Hilbert-Peano curve to scan image of arbitrary size


By : thanh nguyen
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , I finally choose, as suggested by Betterdev as adaptive curves are not that straigthforward [1], to compute a bigger curve and then get rid of coordinates which are outside my image shape:
code :
# compute the needed order
order = np.max(np.ceil([np.log2(M), np.log2(N)]))
# Hilbert curve to scan a 2^order * 2^order image
x, y = hilbert_peano(order)
mat = np.zeros((2**order, 2**order))
# curve as a 2D array
mat[x, y] = np.arange(0, x.size, dtype=np.uint)
# clip the curve to the image shape
mat = mat[:M, :N]
# compute new indices (from 0 to M*N)
I = np.argsort(mat.flat)
x_new, y_new = np.meshgrid(np.arange(0, N, dtype=np.uint), np.arange(0, M, dtype=np.uint))
# apply the new order to the grid
x_new = x_new.flat[I]
y_new = y_new.flat[I]
Fitting a closed curve then drawing equidistant points from that curve

Fitting a closed curve then drawing equidistant points from that curve


By : Zander
Date : March 29 2020, 07:55 AM
may help you . Perhaps this gets you started. The xsplinefunction allows for creating a closed spline - although I am unsure how to control the number of interpolated points. This answer demonstrates the use of the xspline function.
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