Histogram-based thresholding - some missing methods
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3279
Using intensity histograms to estimate image thresholds is a long established practice in image processing and image analysis and a wide variety of techniques have been developed. Different techniques are appropriate for different intensity distributions. This article implements a number of standard techniques not currently available in
ITK.
Code
minus Automatic Testing Results by Insight-Journal Dashboard on Sun Jun 12 22:39:07 2011 for revision #2
starstarstarstarstar expertise: 5 sensitivity: 5
yellow This project passed all of its tests.
Click here for more details.

Go here to access the main testing dashboard.
plus Automatic Testing Results by Insight-Journal Dashboard on Wed Jun 8 08:45:25 2011 for revision #1
starstarstarstarstar expertise: 5 sensitivity: 5

Reviews
There is no review at this time. Be the first to review this publication!

Quick Comments


Resources
backyellow
Download All
Download Paper , View Paper
Download Source code
Github

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating: starstarstarstarstar
Paper Quality: plus minus

Information more
backyellow
Categories: Probability, Thresholding
Keywords: Histogram, threshold estimation
Toolkits: ITK
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
Importing Contours from DICOM-RT Structure Sets Importing Contours from DICOM-RT Structure Sets
by Dowling J., Malaterre M., Greer P.B., Salvado O.
A Label Geometry Image Filter for Multiple Object Measurement A Label Geometry Image Filter for Multiple Object Measurement
by Padfield D., Miller J.

View license
Loading license...

Send a message to the author
main_flat
ISSN 2327-770X
Powered by Midas