[scikit-image] 回复： peak_local_max

[imagepy at sina.com]

Hi Dzung Nguyen:
    Does you want to mark every 'circle like' parts in the region? peak_local_max will result too many points, may be you should use h_maxima, unfortunatly, h_maximu is also slow. I had mailed befor.
    if you want to get the local_max without any other limit, you can use a scipy.ndimage.maximum_filter:	# python code	maximg = maximum_filter(img, 3)	local_max = maximg == img
    And you may be intresting in my Project, ImagePy: https://github.com/Image-Py, Which is a imagej of python. or a photoshop with scikit-image core. you can do many things interactively. I use my spare time in the last year, Now it has did a A small effect. (In the imagepy.ipyalg.hydrology I had implemented a fast findmax function), two snapshots in the attachment.
YXDragonBest
----- 原始邮件 -----
发件人：Dzung Nguyen <dzungng89 at gmail.com>
收件人：scikit-image at python.org
主题：[scikit-image] peak_local_max
日期：2017年11月07日 07点37分

Hi all,
I might take the issue #2758 for my 2nd PR to scikit-image. Could someone point out the potential problems? It does take >20 second on my computer. I looked at the code briefly, and it seems that the bottleneck is _get_high_intensity_peaks?

Thanks, --Dzung Nguyen
PhD StudentElectrical Engineering and Computer Science,Northwestern University, IL, USA
http://users.eecs.northwestern.edu/~dtn419/


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