Hello,
just to comment on your remarks.
> 1. when a region has more than one min value(same but not nearby),
the result will mark them all. (I want to use them as seed to watershed,
So I need any one, else the region will be broken, can we add a
parameter to control?)
I think there is a problem in the naming of the operator; I will open an
issue on this. But this can be easily fixed. There is no parameter to be
added.
> 2. h_minma run too slowly, (what more, the watershed run more
slowly... so my program crashed! I had heard Juan will improve it in the
next version)
h_minima are based on the grey-scale reconstruction; so I guess that if
h_minima is too slow, the reconstruction operator and all derived
operators will have the same issue.
Best,
Thomas.
On 9/9/17 6:25 AM, imag...@sina.com wrote:
Sorry, May be I had send one, But I am not sure if I send
suceessfully, because of the attachment is too large, so I send again,
with a jpg format.
Hi every one:
As I mentioned befor, In the official example, use watershed to
segment two circle, In this example, use pick_local_max to find the
seed. But When I try on other binary images, there always are two
local_max nearby, then the segment be too trivial. And I use the
h_maxma and h_minma, I have some trouble:
1. when a region has more than one min value(same but not nearby), the
result will mark them all. (I want to use them as seed to watershed,
So I need any one, else the region will be broken, can we add a
parameter to control?)
2. h_minma run too slowly, (what more, the watershed run more
slowly... so my program crashed! I had heard Juan will improve it in
the next version)
So I wrote h_minma/maxma and watershed myself (as a sub package of my
project imagepy). My watershed now only support 2D, But the h_minma
now is OK, works on nd. I had test one image:
scikit-image's h_minma runs in 15s, and mine runs in 0.3s,
45times.
I will attach my code and test image. If any one can have a look, and
improve the h_minma function? I will write a issue on github soon.
YXDragon
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Thomas Walter
27 rue des Acacias
75017 Paris
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