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NelisW / pyradi

a Python toolkit to perform optical and infrared computational radiometry
http://nelisw.github.io/pyradi-docs/_build/html/index.html
MIT License
58 stars 34 forks source link

Infrared image segmentation algorithms #3

Closed GoogleCodeExporter closed 9 years ago

GoogleCodeExporter commented 9 years ago 
Infrared images often contains large areas with nothing but noise and clutter. 
This noise and clutter interferes with the analysis process, and is best 
removed from the image prior to analysis.

A tool or algorithms that can separate the target of interest from interfering 
sources would be most useful.

Segmentation could/should be done on one or more of the following features:
 - Spatial (area selection)
 - Intensity thresholding
 - Tracking movement

Original issue reported on code.google.com by neliswil...@gmail.com on 1 Jun 2012 at 8:47

GoogleCodeExporter commented 9 years ago 
[deleted comment]
GoogleCodeExporter commented 9 years ago 
[deleted comment]
GoogleCodeExporter commented 9 years ago 
Clustering and image segmentation capability is available in SKLEARN. Tracking 
is available with OpenCv in Python. I prefer to see this module become 
excellent at Radiometry

Original comment by tomfitzr...@gmail.com on 27 Aug 2013 at 1:16

GoogleCodeExporter commented 9 years ago 
Thanks Tom!

for completeness on this comment, also see scikit-image at 
http://scikit-image.org/ for image processing

Original comment by neliswil...@gmail.com on 28 Aug 2013 at 5:02

GoogleCodeExporter commented 9 years ago

Original comment by neliswil...@gmail.com on 28 Aug 2013 at 5:08