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Image segmentation of deformed snakes

lmn779
2015-07-01 20:51:28
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Image ProcessingImage Processing PythonPython

Description

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Any practical implementation of this algorithm should work only over the
neighbor pixels of the 0.5-levelset, not over all the embedding function,
and perhaps should feature multi-threading or GPU capabilities.


The classes MorphGAC and MorphACWE provide most of the functionality of this
module. They implement the Morphological Geodesic Active Contours and the
Morphological Active Contours without Edges, respectively. See the
aforementioned paper for full details.

Key Technology

This is a Python implementation of the algorithms introduced in the paper
  Márquez-Neila, P., Baumela, L., Álvarez, L., "A morphological approach
  to curvature-based evolution of curves and surfaces". IEEE Transactions
  on Pattern Analysis and Machine Intelligence (PAMI), 2013.
This implementation is intended to be as brief, understandable and self-contained

as possible. It does not include any enhancement to make it fast or efficient.

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dendrite.gif2.39 MB2015-03-26 21:29
eq1.png2.86 kB2015-03-26 21:29
eq2.png3.43 kB2015-03-26 21:29
europe.gif288.37 kB2015-03-26 21:29
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Figure13.png970.92 kB2015-03-26 21:29
Figure14.png550.33 kB2015-03-26 21:29
Figure9.png1.20 MB2015-03-26 21:29
lakes.gif170.79 kB2015-03-26 21:29
nodule.gif140.98 kB2015-03-26 21:29
starfish.gif595.18 kB2015-03-26 21:29
morphsnakes.py11.64 kB2015-03-26 21:29
README.rst4.33 kB2015-03-26 21:29
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confocal.npy1.10 MB2015-03-26 21:29
lakes3.jpg23.08 kB2015-03-26 21:29
mama07ORI.bmp192.05 kB2015-03-26 21:29
seastar2.png153.76 kB2015-03-26 21:29
tests.py2.48 kB2015-03-26 21:29
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Comments

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Teddy熊
2018-04-13

AttributeError: 'map' object has no attribute 'step' 怎么修改?

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Image segmentation of deformed snakes (22.36 MB)

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