Efficient N-Dimensional surface estimation using Crofton formula and run-length encoding
Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3342
New: Prefer using the following doi: https://doi.org/10.54294/wdu86d
Unlike the measure of the area in 2D or of the volume in 3D, the perimeter and the surface are not easily measurable in a discretized image. 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.