|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3342|
In this article we describe a method based on the Crofton formula to measure those two parameters in a discritized image. The accuracy of the method is discussed and tested on several known objects. An algorithm based on the run-length encoding of binary objects is presented and compared to other approaches.
An implementation is provided and integrated in the LabelObject/LabelMap framework contributed earlier by the authors.
I was about to piece together some VTK code to estimate surface area when I stumbed across this contribution from Gaetan where he presents a method for estimating the surface area of digitized binary objects.Evidence:
Comparisons are made with isosurface reconstruction.Open Science:
I saved the classes in my own repository and compiled it in code that calculates other label geometry measures.Use of Open Source Software:
Yes.Open source Contributions:
Definitely.Code Quality :
It's of the usual high quality we've come to expect from Gaetan.Quality of the data :
Yes, I would definitely recommend it for inclusion in the main repository.
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|Categories:||Data Representation, Filtering|
|Keywords:||Crofton, RLE, Perimeter, Surface|
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