Hi,
Face same error in Win10 Scilab 6.1.0.
But no such error in Win10 Scilab 5.5.2.
Rgds,
Rafael
From: users On Behalf Of Rene Djack
Sent: Wednesday, July 15, 2020 8:39 PM
To: users@lists.scilab.org
Subject: [Scilab-users] bvode example broken?
Hello,
I' m new to this list and to scilab too!
Stéphane,
Thanks for the hint.
This is nice for dots being completely surrounded by the green area.
In general there might be cases, where the dots are part of the red and
part of the green area.
The result would than be like this:
[image: grafik.png]
Appreciate your input.
Philipp
Am Mi.,
Another possibility: compute the connected components of the green plane
bitmap image and keep only the largest one. You can use imlabel then
imblobprop (in IPCV):
im=im2bw(imread("G.jpg"),0.5); // I took a screenshot of your G plane image
clf
subplot(1,2,1)
imshow(im)
[im_labeled,n] =
Hello,
I' m new to this list and to scilab too!
Working on bvode, I try the example "Quantum Neumann equation" found in the
scilab help and i get the error message
"Collocation matrix is singular"
Is this example broken?
Somebody have the same message?
I'm using scilab 6.10 from
I confirm the last example in
https://help.scilab.org/docs/6.1.0/en_US/bvode.html returns the
following error - on a Windows 10 machine:
--> exec('D:\Userdata\Claus\Documents\Scilab\bvode_example.sce', -1)
VERSION *COLNEW* OF COLSYS .
THE MAXIMUM NUMBER OF SUBINTERVALS IS MIN ( 117 (ALLOWED
Hi,
Same error on OSX since 6.0.2 version. I cannot test for 5.5.2 version
because bvode was broken (it was fixed by desactivating optimization
compilation flags).
S.
Le 15/07/2020 à 20:24, Rafael Guerra a écrit :
Hi,
Face same error in Win10 Scilab 6.1.0.
But no such error in Win10
Dear Scilab community,
Thanks to Antoine's functions I am able to read tif-files as M x N x
Channel - matrix.
Px values are:
red => 255, 0, 0
green=> 0, 255, 0
black => 0, 0, 0
white => 255, 255, 255
Now: I want to only keep the green pixel values.
This can be done due
Hello,
Maybe this is not relevant, but if the green region is garanteed to be
always simply connected, you just have to fill holes in your
absdiff(G,B) image (imfill function in IPCV).
S.
Le 15/07/2020 à 17:58, P M a écrit :
Dear Scilab community,
Thanks to Antoine's functions I am able
